-
Open Access Article
1 - The effect of online social networks on home business innovation performance: The mediating role of innovation capacity
Morteza Akbari peyman dolatshah mojgan daneshNowadays, activity in online social networks has become inclusive, and these new tools have a high potential for the acquisition of business information and the needs of customers through collective intelligence; the use of this information can stimulate the creation of MoreNowadays, activity in online social networks has become inclusive, and these new tools have a high potential for the acquisition of business information and the needs of customers through collective intelligence; the use of this information can stimulate the creation of innovative products and processes in business. Also, the existence of high innovation capacity in business can facilitate the process of improving innovation performance. Therefore, in this research we have tried to examine the effect of using online social networks on improving the innovation performance of home business in Isfahan province and It will be clear how the innovation capacity of these businesses will affect this relationship. This study was conducted on 220 home-based businesses in Isfahan, and with available sampling were selected. uses a questionnaire for collecting data. The present research is an applied and descriptive analytical-survey method in terms of its purpose. For analyze the data structural equation modeling were used. The results showed that higher levels of online social networks could increase the likelihood of improving innovation performance. Also, innovation capacity can be a stimulus to use of online social networks and thus improve the innovation performance in the home business. Manuscript profile -
Open Access Article
2 - Content rating a nessissity for spam management in social networks
Simin GhesmatiNowadays using of social networks is growing very rapidly. Meanwhile, inappropriate and unintended contents like spam in these networks could be published. Forwarding inappropriate content by friends or spam senders caused that user receive these contents in their profi MoreNowadays using of social networks is growing very rapidly. Meanwhile, inappropriate and unintended contents like spam in these networks could be published. Forwarding inappropriate content by friends or spam senders caused that user receive these contents in their profiles.The purpose of this research is to design a system to manage, diagnose and deal with spam attacks through social networks to reduce the attack effects as greatest extent as possible. In this study, the content rating system is to rate spam, phishing and over 18 contents in accordance with feedbacks from users so that the spam, phishing, or over 18 logos show and contents will not be displayed. Users are to click on the logo to reach the mentioned contents. To determine limit in comment senders is another ability of this social network system. The outcome of this study confirms that applying the content management system, as 95.22% percent of users claimed, was effective to avoid spam displaying and 99.61% percent of users were highly satisfied with the procedures in spam reduction in the implemented social network. Manuscript profile -
Open Access Article
3 - Content rating for spam management in social networks a nessissity
Simin GhesmatiNowadays using of social networks is growing very rapidly. Meanwhile, inappropriate and unintended contents like spam in these networks could be published. Forwarding inappropriate content by friends or spam senders caused that user receive these contents in their profi MoreNowadays using of social networks is growing very rapidly. Meanwhile, inappropriate and unintended contents like spam in these networks could be published. Forwarding inappropriate content by friends or spam senders caused that user receive these contents in their profiles.The purpose of this research is to design a system to manage, diagnose and deal with spam attacks through social networks to reduce the attack effects as greatest extent as possible. In this study, the content rating system is to rate spam, phishing and over 18 contents in accordance with feedbacks from users so that the spam, phishing, or over 18 logos show and contents will not be displayed. Users are to click on the logo to reach the mentioned contents. To determine limit in comment senders is another ability of this social network system. The outcome of this study confirms that applying the content management system, as 95.22% percent of users claimed, was effective to avoid spam displaying and 99.61% percent of users were highly satisfied with the procedures in spam reduction in the implemented social network. Manuscript profile -
Open Access Article
4 - A System for Online Notification of Changes to Webblog Abstracts
Mehdi NaghaviExponential growth of information in the cyber space alongside rapid advancements in its related technologies has created a new mode of competition between societies to gain information domination in this critical and invaluable space. It has thus become quite critical MoreExponential growth of information in the cyber space alongside rapid advancements in its related technologies has created a new mode of competition between societies to gain information domination in this critical and invaluable space. It has thus become quite critical to all stakeholders to play a leading and dominant role in generation of information and monitoring of voluminous information uploaded to this space. However, to achieve domination in monitoring large amount of information in cyberspace requires real-time monitoring using new techniques and approaches instead of traditional techniques. Concerned with the latter case, we limit our focus in this paper on Web blogs as an important part of the cyber space and propose a novel notification system for quick reporting of changes made to Web blogs. This is achieved by restricting the search for changes to high volumes of Web blogs only to changes to the abstracts of Web blogs derived from Web blogs. We show that this system works favorably compared to systems that require cooperation and synchronization between information providers. Manuscript profile -
Open Access Article
5 - A New Approach to Extract and Utilize Learners Social Relationships through Analyzing Forums Structure and Contents
Somayeh AhariCollaborative learning tools play important roles in communications and knowledge building, among learners in a virtual learning environment. They demand appropriate grouping algorithms as well as facilitating learners’ participations mechanisms. This paper has utilized MoreCollaborative learning tools play important roles in communications and knowledge building, among learners in a virtual learning environment. They demand appropriate grouping algorithms as well as facilitating learners’ participations mechanisms. This paper has utilized some information retrieval techniquesto investigate the relevance of discussion posts to their containing forums, and extract learners’ most frequent topics. Trying to explore students online interactions, researchers have applied social network analysis, which has led to a new representation of social networking. They have proposed a new grouping algorithm based on the provided representation of social relationships. The mentioned approaches have been evaluated in some academic courses in Department of Electrical and Computer Engineering, and ELearning Center, University of Tehran. The results have revealed some considerable improvements in comparison to the traditional approaches. Research outcomes may help tutors to create and guide groups of learners more effectively. Manuscript profile -
Open Access Article
6 - Discovering spam in Facebook social network using data mining.
amin nazariIn recent years, by developing new technologies and communication facilities such as internet, new aspects named virtual social networks have been created. Rapid development of social networks and huge number of anonymous Users in these networks, created a suitable en MoreIn recent years, by developing new technologies and communication facilities such as internet, new aspects named virtual social networks have been created. Rapid development of social networks and huge number of anonymous Users in these networks, created a suitable environment for scammers. Most of the times, scammers are trying to spread several types of spams into these high potential places. Hence, an effective method is required to detect the spams in order to increase the level of information security of people in the social networks. In this paper, a new method for discovering spammer in Facebook social network is proposed. Findings show 99.96% accuracy. In previous papers, users were divided into two groups of ordinary users and spammer users. The method of classification in these papers recognizes also as a spam the users which attached by spammer. So, in this paper by dividing users into three types of ordinary users, spammer and users attached by spammer, accuracy of spam detection has been increased. Manuscript profile -
Open Access Article
7 - Identifying Cloned Profiles on Online Social Networks by Identifying Nodes in Overlapping Communities and User Interactions
Zahra HamzehzadehWith the growing popularity of social networks, identifying Profile Cloning Attacks (PCAs) is an important challenge within the scope of privacy in the communications world. Until now, researchers have identified these attacks by using features such as profile informati MoreWith the growing popularity of social networks, identifying Profile Cloning Attacks (PCAs) is an important challenge within the scope of privacy in the communications world. Until now, researchers have identified these attacks by using features such as profile information, link information, and interactions information that are based on methods like similarities and network structure. Previously suggested approaches lack specific routine and logic to track an attacker, and begin identifying PCAs with victim direct requests or according to the time of a friend request from an attacker. This research offers a new approach with a total of two major steps. Step one emphasizes that legitimate users are attracted to interactions within their local communities; conversely, attackers are attracted to more dense areas. Step two was designed according to the analysis of the interactive behavior that is obtained from users 'earlier research. With this approach, according to a logic based on network structure, search cloned profiles can be identified. Finally, a list of suspicious nodes to cloned nodes has been introduced with their scores that show the accuracy of selection. During the research, a logical relation between the average degrees of social network graph and the selection of the appropriate suspicious nodes with high priority was extracted. Finally, a general framework is proposed. Manuscript profile -
Open Access Article
8 - Determinants for entrepreneurial behavior among members of virtual agricultural social networks
Pouria AtaeiEntrepreneurship is an important issue that has been raised in all aspects of economic and social development. Now the most important question in the communities, especially in developing countries is how people can be entrepreneurs and how can they create entrepreneuri MoreEntrepreneurship is an important issue that has been raised in all aspects of economic and social development. Now the most important question in the communities, especially in developing countries is how people can be entrepreneurs and how can they create entrepreneurial opportunities. Nowadays because of technological development people can communicate with each other in many different ways, that virtual social network is one of them. Therefore, the aim of this study was to explain the determinants for entrepreneurial behavior of members of agricultural social networks. This study was among members of social networks "entrepreneurial knowledge exchange" The sample population was 126 people and population was 180 people. The assessment tool in this study was a questionnaire which its validity was confirmed by experts and its reliability was confirmed through pilot testing and estimated Cranach's alpha. Cranach's alpha was estimated between 0.76 - 0.93. Results showed that virtual social networking features, some entrepreneurial characteristics such as risk, identify and evaluate opportunities and incentives were entered in regression model and able to predict 76.6 percent of the variation in entrepreneurial behavior as a dependent variable. Finally, according to research findings, practical recommendations were presented. Manuscript profile -
Open Access Article
9 - The impact of social networking ads on the desire to buy customers Through the moderating role of trust and image of perceived website (case study: aval market)
maryam akhavanThe present research studies the effect of social networking advertising on the desire to buy customers through the moderate role of trust and image of the perceived website in the first company. The research method is descriptive and survey type. The statistical popula MoreThe present research studies the effect of social networking advertising on the desire to buy customers through the moderate role of trust and image of the perceived website in the first company. The research method is descriptive and survey type. The statistical population of this research includes all customers of the first market in Tehran. The sample size was determined using the unlimited population formula of 384 people. The method of sampling is cluster sampling. The research data were collected using library and field method and the tools used in the questionnaire. The reliability of the questionnaires was confirmed by Cronbach's alpha (0.884) and the validity of the tool was confirmed by content and structure. The research data were analyzed using SPSS and Laser software and analyzed by statistical, descriptive and inferential statistics. The results of this research indicate that social networking ads, the value of social networking ads, Social networking stimulants have a positive impact on the desire to buy customers. However, the impact and customization of social networks has been rejected by the desire to buy customers. Also, the results of moderating assumptions show that the trust and image of the perceived web site significantly affects the impact of social networking ads on the willingness to buy customers. Moreover, the results show that the interaction of social networking ads and gender after adding to the meaning model Not a dude Manuscript profile -
Open Access Article
10 - A greedy new method based on the cascade model to calculate maximizing penetration in social networks
Asgarali Bouyer Hamid AhmadiIn the case of penetration maximization, the goal is to find the minimum number of nodes that have the most propagation and penetration in the network. Studies on maximizing penetration and dissemination are becoming more widespread. In recent years, many algorithms hav MoreIn the case of penetration maximization, the goal is to find the minimum number of nodes that have the most propagation and penetration in the network. Studies on maximizing penetration and dissemination are becoming more widespread. In recent years, many algorithms have been proposed to maximize the penetration of social networks. These studies include viral marketing, spreading rumors, innovating and spreading epidemics, and so on. Each of the previous studies has shortcomings in finding suitable nodes or high time complexity. In this article, we present a new method called ICIM-GREEDY to solve the problem of maximizing penetration. In the ICIM-GREEDY algorithm, we consider two important criteria that have not been considered in the previous work, one is penetration power and the other is penetration sensitivity. These two criteria are always present in human social life. The proposed method is evaluated on standard datasets. The obtained results show that this method has a better quality in finding penetrating nodes in 30 seed nodes than other compared algorithms. This method also performs better in terms of time compared to the comparative algorithms in terms of relatively fast convergence. Manuscript profile -
Open Access Article
11 - Investigating the effect of using various marketing strategies on social networks on gaining the trust of council customers Investigating ترجمههای investigate فعلفراوانی بررسی کردن investigate, check, peruse, survey, study رسیدگی کردن consider, attend, check, investigate, inspect, investigate استفسار کردن investigate وارسی کردن sift, investigate پژوهیدن investigate, inquire, research, search تحقیق کردن investigate, inquire, verify, assay, interrogate, question اطلاعات مقدماتی بدست اوردن investigate جستار کردن investigate تفتیش کردن inquire, inspect, investigate, revise باز جویی کردن examine, assay, inquire, interrogate, investigate, cross-examine تعریفهای investigate فعل ۱ carry out a systematic or formal inquiry to discover and examine the facts of (an incident, allegation, etc.) so as to establish the truth. police are investigating the alleged beating مترادفها: check outsuss outgive something the once-overscope outinquire intolook intogo intolook overprobeexplorescrutinizeconduct an investigation intoconduct an inquiry intomake inquiries abouttry to get to the bottom ofinspectanalyzestudyexamineconsiderresearchsearch/sift the evidence concerningpore overdelve intoauditevaluatefollow up مترادف investigate فعل check outsuss outgive something the once-overscope out inquire intolook intogo intolook overprobeexplorescrutinizeconduct an investigation intoconduct an inquiry intomake inquiries abouttry to get to the bottom ofinspectanalyzestudyexamineconsiderresearchsearch/sift the evidence concerningpore overdelve intoauditevaluatefollow up همچنین ببینید investigate
farzaneh milani jafari zenouziThe aim of this study is to investigate the effect of using variety of marketing strategies in social networks to build customers’ trust. Marketing through social networks has made appropriate opportunities for companies to attract more customers. Building customers' tr MoreThe aim of this study is to investigate the effect of using variety of marketing strategies in social networks to build customers’ trust. Marketing through social networks has made appropriate opportunities for companies to attract more customers. Building customers' trust and attracting the customers can be mentioned as marketing challenges on these networks. So, in order to create competitive advantages, companies need to use appropriate strategies of building trust. The population of this study consists of all Iranian users of social networking sites that affected by companies advertisements. Also the sample size by using snowball sampling method is 446. The research method is descriptive survey research and data collection tool is questionnaire. To test hypotheses the partial least squares (PLS) technique and SmartPLS 3 software has been used. The results show that all four variables include: transactional, relationship, database and knowledge-based marketing strategies in social networks have a significant impact to build customers’ trust. Indeed, transactional strategy has negative impact on trust so the relation between this variable and dependent variable is reverse. knowledge-based marketing strategy has the most positive impact on customers’ trust. Manuscript profile -
Open Access Article
12 - Introducing a genetic algorithm based Method for Community person's stance Detection in social media and news
mehdi salkhordeh haghighi Seyyed Mohammad ebrahimiNews reports in social media are presented with large volumes of different kinds of documents. The presented topics in these documents focus on different communities and person stances and opinions. Knowing the relationships among persons in the documents can help the r MoreNews reports in social media are presented with large volumes of different kinds of documents. The presented topics in these documents focus on different communities and person stances and opinions. Knowing the relationships among persons in the documents can help the readers to obtain a basic knowledge about the subject and the purpose of various documents. In the present paper, we introduce a method for detecting communities that includes the persons with the same stances and ideas. To do this, the persons referenced in different documents are clustered into communities that have related positions and stances. In the presented method. Community-based personalities are identified based on a friendship network as a base method. Then by using a genetic algorithm, the way that these communities are identified is improved. The criterion in the tests is rand index of detection of these communities. The experiments are designed based on real databases that published in Google News on a particular topic. The results indicate the efficiency and desirability of the proposed method Manuscript profile -
Open Access Article
13 - An Improved Method Based on Label Propagation and Greedy Approaches for Community Detection in Dynamic Social Networks
Mohammad ستاری kamran zamanifarCommunity detection in temporal social networks is one of the most important topics of research which attract many researchers around the world. There are variety of approaches in detecting communities in dynamic social network among which label propagation approach is MoreCommunity detection in temporal social networks is one of the most important topics of research which attract many researchers around the world. There are variety of approaches in detecting communities in dynamic social network among which label propagation approach is simple and fast approach. This approach consists of many methods such as LabelRankT is one with high speed and less complexity. Similar to most methods for detecting communities in dynamic social networks, this one is not trouble free. That is, it is not considered the internal connection of communities, when it expands communities of the previous snapshots in the current snapshot. This drawback decreases the accuracy of community detection in dynamic social networks. For solving the drawback, a greedy approach based on local modularity optimization is added to LabelRankT method. Here, the newly proposed GreedyLabelRankT, LabelRankT and non-overlapping version of Dominant Label Propagation Algorithm Evolutionary (DLPAE-Non Overlapping) on real and synthetic datasets are implemented. Experimental results on both real and synthetic network show that the proposed method detect communities more accurately compared to the benchmark methods. Moreover, the finding here show that running time of the proposed method is close to LabelRankT. Therefore, the proposed method increase the accuracy of community detection in dynamic social networks with no noticeable change in the running time of that. Manuscript profile -
Open Access Article
14 - The Geo-discourse of Takfiri IS group and its Media Representation- with emphasis on digital media
This essay would explore the media dimension of operations of takfiri-terrorist IS group. To do so we will study the discourse making process of IS throughout virtual space and Virtual Networks. This article argues that establishing a discoursive system and articulating MoreThis essay would explore the media dimension of operations of takfiri-terrorist IS group. To do so we will study the discourse making process of IS throughout virtual space and Virtual Networks. This article argues that establishing a discoursive system and articulating ideational concepts that construct the positions of Self and Other and give them a hegemonic status is possible via virtual networks and with enjoying of media ploys. In this regard the main question of this essay is about the evaluation of the level of efficacy of these media arenas for IS and assesing the opportunities or by contrast the threats offered by them for IS’s activism. Our hypothesis is that virtual space is useful for IS and this group thanks to a professional approach to social networks and knowing the function of media, can establish a media terrorism by psychological operation and therefore complete its geopolitics actions. Manuscript profile -
Open Access Article
15 - An access control model for online social networks using user-to-user relationships
Mohamad Javad Piran mahmud deypirWith the pervasiveness of social networks and the growing information shared on them, users of these networks are exposed to potential threats to data security and privacy. The privacy settings included in these networks do not give users complete control over the manag MoreWith the pervasiveness of social networks and the growing information shared on them, users of these networks are exposed to potential threats to data security and privacy. The privacy settings included in these networks do not give users complete control over the management and privatization of access to their shared information by other users. In this article, using the concept of social graph, a new model of user access control was proposed to the user, which allows the expression of privacy policies and more accurate and professional access control in terms of pattern and depth of relationships between users in social networks. In this article, by using the regular index method, indirect relationships among users are examined and analyzed, and more precise policies than previous models are presented. The evaluation of the results showed that for 10 neighbors for each user, the probability accumulation of a qualified path for the first three counter loops is 1, 10.5 and 67.3%, respectively, and finally for the fourth counter it reaches 100%. As the defined counting characteristic increases, the average execution time of the proposed algorithm and previously proposed algorithms increases. However, for the higher limits of the counting characteristic, the proposed algorithm performs better than the previous ones. Manuscript profile -
Open Access Article
16 - The role of organizational factors on consumer buying behavior in social networks
zohreh dehdashti shahrokh Mitra Daneshparvar vahid nasehifar vahid KhasheiThe clothing industry has seen great growth in social media in recent years. Many factors affect the purchase of clothing from social networks, and one of these important and influential factors is organizational factors. Therefore, the purpose of this study is to inves MoreThe clothing industry has seen great growth in social media in recent years. Many factors affect the purchase of clothing from social networks, and one of these important and influential factors is organizational factors. Therefore, the purpose of this study is to investigate the organizational factors affecting the consumer in shopping through social networks. In this research, a combined method has been used. In the qualitative section, by reviewing the literature and interviewing vendors active in social networks, texts were prepared and coded. In the quantitative part, based on the initial model, a questionnaire was developed and distributed to 385 clothing buyers in networks. The structural equation method was used to analyze the data and the Sobel test was used to examine the mediating role. This study examines the independent and combined effect of organizational variables affecting people's trust in buying clothes through social networks. The results showed that information quality, transaction security, company reputation and company location have a significant effect on people's trust and consumer willingness to buy clothing through social networks.. Manuscript profile -
Open Access Article
17 - Scalable Community Detection through Content and Link Analysis in Social Networks
Zahra Arefian Mohammad Reza Khayyam BashiSocial network analysis is an important problem that has been attracting a great deal of attention in recent years. Such networks provide users many different applications and features; as a result, they have been mentioned as the most important event of recent decades. MoreSocial network analysis is an important problem that has been attracting a great deal of attention in recent years. Such networks provide users many different applications and features; as a result, they have been mentioned as the most important event of recent decades. Using features that are available in the social networks, first discovering a complete and comprehensive communication should be done. Many methods have been proposed to explore the community, which are community detections through link analysis and nodes content. Most of the research exploring the social communication network only focuses on the one method, while attention to only one of the methods would be a confusion and incomplete exploration. Community detections is generally associated with graph clustering, most clustering methods rely on analyzing links, and no attention to regarding the content that improves the clustering quality. In this paper, to scalable community detections, an integral algorithm is proposed to cluster graphs according to link structure and nodes content, and it aims finding clusters in the groups with similar features. To implement the Integral Algorithm, first a graph is weighted by the algorithm according to the node content, and then network graph is analyzed using Markov Clustering Algorithm, in other word, strong relationships are distinguished from weak ones. Markov Clustering Algorithm is proposed as a Multi-Level one to be scalable. The proposed Integral Algorithm was tested on real datasets, and the effectiveness of the proposed method is evaluated. Manuscript profile -
Open Access Article
18 - COGNISON: A Novel Dynamic Community Detection Algorithm in Social Network
Hamideh Sadat Cheraghchi Ali ZakerolhossieniThe problem of community detection has a long tradition in data mining area and has many challenging facet, especially when it comes to community detection in time-varying context. While recent studies argue the usability of social science disciplines for modern social MoreThe problem of community detection has a long tradition in data mining area and has many challenging facet, especially when it comes to community detection in time-varying context. While recent studies argue the usability of social science disciplines for modern social network analysis, we present a novel dynamic community detection algorithm called COGNISON inspired mainly by social theories. To be specific, we take inspiration from prototype theory and cognitive consistency theory to recognize the best community for each member by formulating community detection algorithm by human analogy disciplines. COGNISON is placed in representative based algorithm category and hints to further fortify the pure mathematical approach to community detection with stabilized social science disciplines. The proposed model is able to determine the proper number of communities by high accuracy in both weighted and binary networks. Comparison with the state of art algorithms proposed for dynamic community discovery in real datasets shows higher performance of this method in different measures of Accuracy, NMI, and Entropy for detecting communities over times. Finally our approach motivates the application of human inspired models in dynamic community detection context and suggest the fruitfulness of the connection of community detection field and social science theories to each other. Manuscript profile -
Open Access Article
19 - Analysis of expert finding algorithms in social network in order to rank the top algorithms
AhmadAgha kardan Behnam BozorgiThe ubiquity of Internet and social networks have turned question and answer communities into an environment suitable for users to ask their questions about anything or to share their knowledge by providing answers to other users’ questions. These communities designed f MoreThe ubiquity of Internet and social networks have turned question and answer communities into an environment suitable for users to ask their questions about anything or to share their knowledge by providing answers to other users’ questions. These communities designed for knowledge-sharing aim to improve user knowledge, making it imperative to have a mechanism that can evaluate users’ knowledge level or in other words “to find experts”. There is a need for expert-finding algorithms in social networks or any other knowledge sharing environment like question and answer communities. There are various content analysis and link analysis methods for expert-finding in social networks. This paper aims to challenge four algorithms by applying them to our dataset and analyze the results in order to compare the algorithms. The algorithms suitable for expert finding has been found and ranked. Based on the results and tests it is concluded that the Z-score algorithm has a better performance than others. Manuscript profile -
Open Access Article
20 - Node Classification in Social Network by Distributed Learning Automata
Ahmad Rahnama Zadeh meybodi meybodi Masoud Taheri KadkhodaThe aim of this article is improving the accuracy of node classification in social network using Distributed Learning Automata (DLA). In the proposed algorithm using a local similarity measure, new relations between nodes are created, then the supposed graph is partitio MoreThe aim of this article is improving the accuracy of node classification in social network using Distributed Learning Automata (DLA). In the proposed algorithm using a local similarity measure, new relations between nodes are created, then the supposed graph is partitioned according to the labeled nodes and a network of Distributed Learning Automata is corresponded on each partition. In each partition the maximal spanning tree is determined using DLA. Finally nodes are labeled according to the rewards of DLA. We have tested this algorithm on three real social network datasets, and results show that the expected accuracy of presented algorithm is achieved. Manuscript profile -
Open Access Article
21 - A Hybrid Cuckoo Search for Direct Blockmodeling
Saeed NasehiMoghaddam mehdi ghazanfari babak teimourpourAs a way of simplifying, size reducing and making sense of the structure of each social network, blockmodeling consists of two major, essential components: partitioning of actors to equivalence classes, called positions, and clarifying relations between and within posit MoreAs a way of simplifying, size reducing and making sense of the structure of each social network, blockmodeling consists of two major, essential components: partitioning of actors to equivalence classes, called positions, and clarifying relations between and within positions. Partitioning of actors to positions is done variously and the ties between and within positions can be represented by density matrices, image matrices and reduced graphs. While actor partitioning in classic blockmodeling is performed by several equivalence definitions, such as structural and regular equivalence, generalized blockmodeling, using a local optimization procedure, searches the best partition vector that best satisfies a predetermined image matrix. The need for known predefined social structure and using a local search procedure to find the best partition vector fitting into that predefined image matrix, makes generalized blockmodeling be restricted. In this paper, we formulate blockmodel problem and employ a genetic algorithm to search for the best partition vector fitting into original relational data in terms of the known indices. In addition, during multiple samples and various situations such as dichotomous, signed, ordinal or interval valued relations, and multiple relations the quality of results shows better fitness to original relational data than solutions reported by researchers in classic, generalized, and stochastic blockmodeling field. Manuscript profile -
Open Access Article
22 - Representing a Content-based link Prediction Algorithm in Scientific Social Networks
Hosna Solaimannezhad omid fatemiPredicting collaboration between two authors, using their research interests, is one of the important issues that could improve the group researches. One type of social networks is the co-authorship network that is one of the most widely used data sets for studying. A MorePredicting collaboration between two authors, using their research interests, is one of the important issues that could improve the group researches. One type of social networks is the co-authorship network that is one of the most widely used data sets for studying. As a part of recent improvements of research, far much attention is devoted to the computational analysis of these social networks. The dynamics of these networks makes them challenging to study. Link prediction is one of the main problems in social networks analysis. If we represent a social network with a graph, link prediction means predicting edges that will be created between nodes in the future. The output of link prediction algorithms is using in the various areas such as recommender systems. Also, collaboration prediction between two authors using their research interests is one of the issues that improve group researches. There are few studies on link prediction that use content published by nodes for predicting collaboration between them. In this study, a new link prediction algorithm is developed based on the people interests. By extracting fields that authors have worked on them via analyzing papers published by them, this algorithm predicts their communication in future. The results of tests on SID dataset as coauthor dataset show that developed algorithm outperforms all the structure-based link prediction algorithms. Finally, the reasons of algorithm’s efficiency are analyzed and presented Manuscript profile -
Open Access Article
23 - Publication Venue Recommendation Based on Paper’s Title and Co-authors Network
Ramin Safa Seyed Abolghassem Mirroshandel Soroush Javadi Mohammad AziziInformation overload has always been a remarkable topic in scientific researches, and one of the available approaches in this field is employing recommender systems. With the spread of these systems in various fields, studies show the need for more attention to applying MoreInformation overload has always been a remarkable topic in scientific researches, and one of the available approaches in this field is employing recommender systems. With the spread of these systems in various fields, studies show the need for more attention to applying them in scientific applications. Applying recommender systems to scientific domain, such as paper recommendation, expert recommendation, citation recommendation and reviewer recommendation, are new and developing topics. With the significant growth of the number of scientific events and journals, one of the most important issues is choosing the most suitable venue for publishing papers, and the existence of a tool to accelerate this process is necessary for researchers. Despite the importance of these systems in accelerating the publication process and decreasing possible errors, this problem has been less studied in related works. So in this paper, an efficient approach will be suggested for recommending related conferences or journals for a researcher’s specific paper. In other words, our system will be able to recommend the most suitable venues for publishing a written paper, by means of social network analysis and content-based filtering, according to the researcher’s preferences and the co-authors’ publication history. The results of evaluation using real-world data show acceptable accuracy in venue recommendations. Manuscript profile -
Open Access Article
24 - A Multi-objective Multi-agent Optimization Algorithm for the Community Detection Problem
Amirhossein Hosseinian Vahid BaradaranThis paper addresses the community detection problem as one of the significant problems in the field of social network analysis. The goal of the community detection problem is to find sub-graphs of a network where they have high density of within-group connections, whil MoreThis paper addresses the community detection problem as one of the significant problems in the field of social network analysis. The goal of the community detection problem is to find sub-graphs of a network where they have high density of within-group connections, while they have a lower density of between-group connections. Due to high practical usage of community detection in scientific fields, many researchers developed different algorithms to meet various scientific requirements. However, single-objective optimization algorithms may fail to detect high quality communities of complex networks. In this paper, a novel multi-objective Multi-agent Optimization Algorithm, named the MAOA is proposed to detect communities of complex networks. The MAOA aims to optimize modularity and community score as objective functions, simultaneously. In the proposed algorithm, each feasible solution is considered as an agent and the MAOA organizes agents in multiple groups. The MAOA uses new search operators based on social, autonomous and self-learning behaviors of agents. Moreover, the MAOA uses the weighted sum method (WSM) in finding the global best agent and leader agent of each group. The Pareto solutions obtained by the MAOA is evaluated in terms of several performance measures. The results of the proposed method are compared with the outputs of three meta-heuristics. Experiments results based on five real-world networks show that the MAOA is more efficient in finding better communities than other methods. Manuscript profile -
Open Access Article
25 - Phase Transition in the Social Impact Model of Opinion Formation in Log-Normal Networks
Alireza Mansouri Fattaneh TaghiyarehPeople may change their opinions as a consequence of interacting with others. In the literature, this phenomenon is expressed as opinion formation and has a wide range of applications, including predicting social movements, predicting political voting results, and marke MorePeople may change their opinions as a consequence of interacting with others. In the literature, this phenomenon is expressed as opinion formation and has a wide range of applications, including predicting social movements, predicting political voting results, and marketing. The interactions could be face-to-face or via online social networks. The social opinion phases are categorized into consensus, majority, and non-majority. In this research, we study phase transitions due to interactions between connected people with various noise levels using agent-based modeling and a computational social science approach. Two essential factors affect opinion formations: the opinion formation model and the network topology. We assumed the social impact model of opinion formation, a discrete binary opinion model, appropriate for both face-to-face and online interactions for opinion formation. For the network topology, scale-free networks have been widely used in many studies to model real social networks, while recent studies have revealed that most social networks fit log-normal distributions, which we considered in this study. Therefore, the main contribution of this study is to consider the log-normal distribution network topology in phase transitions in the social impact model of opinion formation. The results reveal that two parameters affect the phase transition: noise level and segregation. A non-majority phase happens in equilibrium in high enough noise level, regardless of the network topology, and a majority phase happens in equilibrium in lower noise levels. However, the segregation, which depends on the network topology, affects opinion groups’ population. A comparison with the scale-free network topology shows that in the scale-free network, which have a more segregated topology, resistance of segregated opinion groups against opinion change causes a slightly different phase transition at low noise levels. EI (External-Internal) index has been used to measure segregations, which is based on the difference between between-group (External) links and within-group (Internal) links. Manuscript profile -
Open Access Article
26 - Membership in social network son the level of identification and social security adolescents
Abbas Ali ShahidiSocial networks are consequence of Internet and ICT applications. The study aimed to investigate the effect of membership in a social network virtual on the level of Identification and sense of security adolescents. The research was descriptive and causal- comparative. MoreSocial networks are consequence of Internet and ICT applications. The study aimed to investigate the effect of membership in a social network virtual on the level of Identification and sense of security adolescents. The research was descriptive and causal- comparative. The population was consist of all boys and girls in the city of Arak that selected 200 people with using purposive sampling. To collect data was used Question naira sordid gentrification (ISI)and social security questionnaire .The data were analyzed with T- test and analysis of variance and using SPSS software. Result showed that between levels of identification and social security in the member sandman- members adolescents،there was no significant difference. Based on the findings of this study seem that membership in social networks alone do not explain the levels ofidenti ficationor social security Ado lessens and other factors such as family, school environment and educational environment and other condition straining and develop end processing the adolescents can influence the form at ion fid entity and sense of security of them. Manuscript profile -
Open Access Article
27 - The Role of CrowdFunding to Financing Capital for Startups Entrepreneur
Sajad Asakere Saeed Zarandi Mohsen AfsharpourFinancing capital for startups, always had been propounded as one of the challenges for entrepreneurs. On the other hand, the risk of venture capital investment, financial institutions and banks often seem less willing to invest in this activity. By developing Internet MoreFinancing capital for startups, always had been propounded as one of the challenges for entrepreneurs. On the other hand, the risk of venture capital investment, financial institutions and banks often seem less willing to invest in this activity. By developing Internet and social networks, limitation in communications have been removed and new concepts such as networking and utilization of crowdfunding has been raised. This paper introduces a new method of collective investment fund over the Internet to exploit social capital rather than bank loans, business angels and venture capital. Due to the lack of scientific research in this field, by using inductive method we discuss about the crowdfunding phenomenon concept, development of literature in this field, goals and motivations of the participants, expressing the models, potential, obstacles and limitations of the crowdfunfing. The results indicate that the rate of this concept in the world especially in developing countries has been increasing and this model can be operated by providing cultural, technological, legal and social contexts. Manuscript profile -
Open Access Article
28 - Systematic Literature Review of Crowdfunding
Ali Haji Gholam Saryazdi Ali Rajabzadeh Ghatari Alinaghi Mashayekhi Alireza hassanzadehIn recent years crowdfunding is created as a web 2.0 and social network -based on financing for business startups and creative projects. This method has grown in many aspects, such as the number of platforms, the number of campaigns and their success rate, the volume of MoreIn recent years crowdfunding is created as a web 2.0 and social network -based on financing for business startups and creative projects. This method has grown in many aspects, such as the number of platforms, the number of campaigns and their success rate, the volume of funding and the number of models offered. This growth has led researchers to investigate this phenomenon of the different dimensions and aspects. So this article is followed by a comprehensive review of the literature associated with this method. In this study, we have done a systematic review of 60 published articles until 2017 about the concept of crowdfunding. The research findings have been summarized. Moreover, the research orientation pattern has been determined by identifying the focus of great attention. Also the existing research gaps and suggestions for future research in the field of crowdfunding identified and explained. The results of the survey showed that the number of studies carried out on this new method are not very high but are increasing. It is necessary for the researchers to study this method (phenomenon) with a comprehensive and holism approach, using a review of the views of its various actors, stackholders and costumers and extracting the factors influencing the success and failure of this method. Manuscript profile -
Open Access Article
29 - Requirment of Native Inclusive Social Networks Development
Sahar Kousari ali sharifi Alireza YariSocial networks with more than a decade of experience in providing services and attracting countless user globally have reached a significant economic profitability. Entrance into the social networking market requires creating an innovative, entrepreneurial and secure e MoreSocial networks with more than a decade of experience in providing services and attracting countless user globally have reached a significant economic profitability. Entrance into the social networking market requires creating an innovative, entrepreneurial and secure environment for business. From the viewpoint of native social networking, in addition to the above requirements, this requires financial and infrastructures support as well as a comprehensive strategy. In Iran, along with the global trend of technology, numerous communication and social networks have been launched, which in most cases, their experience has not been successful. In this paper, by studying successful experiences in this field, the existential and obligatory requirements of the coverage of these networks in the country are determined and successful factors of the social network identified. Finally, based on the results obtained and modeling the successful factors of social networks from the perspective of business and users, the vast challenges of native social networks have been extracted and policies and solutions proposed for each of challenges. Attention to the needs of young people, using existing on-line social network analysis, transparency of related lows and regulations, providing incentive and infrastructure supports, considering criteria and cultural and social norms, innovating in business models and creating free-to-access; are suggested strategies for developing native social networks. Manuscript profile -
Open Access Article
30 - Evaluation of the Efficacy of the Combined Viral Marketing Method with the Network Clustering Method and Comparing the Results
fereydoun ohadi mehrnoosh mohammadi Mohammad Jafar TarokhIn a Competitive Market, Understanding Customer Demand and Effective Advertising is one of the most Important Factors in Survival. Extend the Internet and virtual networks have provided a great opportunity for companies to advertise, and thus studying electronic marketi MoreIn a Competitive Market, Understanding Customer Demand and Effective Advertising is one of the most Important Factors in Survival. Extend the Internet and virtual networks have provided a great opportunity for companies to advertise, and thus studying electronic marketing methods and models is of great importance. One of the newest marketing methods is viral marketing that is based on mouth-to-mouth advertising and has a lot of power. Viral marketing relies on the principle that on any social network, a number of users have high power and influence on others, and by identifying them and creating good advertising messages, They can be used to effectively marketing. Therefore, The identification of important users is considered the most important activity in viral marketing. In this regard, various studies have been conducted to identify users using a variety of graph-based and publish-based methods. In this research, the capabilities of both methods have been used and by Using a semi-localized centrality criterion based on graph-based methods and Markov clustering model based on propagation methods, a new hybrid model for user clustering and identification of key users presented. The results show higher correlation between the proposed method and the SIR standard and, therefore, its higher efficiency than other methods used in the research. Manuscript profile -
Open Access Article
31 - Presenting a new framework of viral marketing in online business: qualitative analysis via projection techniques
Elham Fazeli veisari Mohammad Javad Taghipouryan Reza TavoliAbstract: Viral marketing is a marketing policy that motivates people to tell your marketing message to others. The advantage of viral marketing is that marketers can create customers at costs almost equivalent to zero, and move from the marketing-consumer-to-consumer-t MoreAbstract: Viral marketing is a marketing policy that motivates people to tell your marketing message to others. The advantage of viral marketing is that marketers can create customers at costs almost equivalent to zero, and move from the marketing-consumer-to-consumer-to-consumer mode, accordingly, a new economy has emerged as businesses use information technology. The purpose of the present study is to conceptualize the components of viral marketing in online business. For this purpose of word association, sentence completion and dream exercises Used as projection techniques in an in-depth semi-structured interview with 15 people in the three generations (X, Y and Z) through content analysis and with the help of MaxQDA software, 76 open source, 21 core and 6 new viral components have been identified in the field of viral marketing such as online services, online attractiveness, online risk taking, online persuasion, online trust and online support. The results can help online business owners develop low-cost activities Manuscript profile -
Open Access Article
32 - Sociological analysis of the effect of cyberspace on students' academic achievement
sayyed atollah sinaee sara mousavi mashhadiThe growing use of digital technologies has made cyberspace and social networks an important part of people's daily lives. In addition, digital technologies and cyberspace have revolutionized the tools, methods, and content of learning in education systems. At the same MoreThe growing use of digital technologies has made cyberspace and social networks an important part of people's daily lives. In addition, digital technologies and cyberspace have revolutionized the tools, methods, and content of learning in education systems. At the same time, the study of the dimensions and effects of the widespread use of communication and information technologies has been the focus of researchers from the beginning and the present study pursues such a goal. This research was conducted by correlation research method and a questionnaire. The statistical population includes all female students in the first year of high school, district two of education in Mashhad, in the academic year 1300-1400. The sample size was selected based on Morgan formula 380 people and information was collected using available sampling method. Findings of this study show that the motivation for the development of the user group in cyberspace and social networks was higher than the average motivation for the development of the non-user group. Manuscript profile -
Open Access Article
33 - Structural Modeling of strengthening purchase intention in the Instagram as a social network
یاسر سبحانی فردThe effect of social networks on consumer behavior in cyberspace is growing. The popular social network Instagram as one of the networks are strengthening their role in purchasing intention. This article seeks to examine know how advertising on the social network Instag MoreThe effect of social networks on consumer behavior in cyberspace is growing. The popular social network Instagram as one of the networks are strengthening their role in purchasing intention. This article seeks to examine know how advertising on the social network Instagram and its role on the consumer`s shopping intention. In this regard, the study has tested effect of six advertising factors in Instagram on the shopping intention. Population of this study is Instagram users in the city of Qazvin. To generalize the results to the community infinite by random sampling, 384 samples were elected. To answer hypotheses and test the study model, structural equation modeling was used. The results confirm the study's model and majority of hypotheses. Test results showed that the informativeness and advertising creativity, have a positive effect on attitudes toward empathy expression and and this will also affect the intention to express empathy and this reality have positive affect on Purchase intention. Manuscript profile -
Open Access Article
34 - analysis of co-authorship network of Iranian regenerative medicine scholars;
Atieh bozorgipour Soroosh Ghazinoori Mohammad GhazinooriCo-authorship is one of the most common manifestations of scientific collaboration between researchers and scholars of scientific disciplines. The significant growth of this phenomenon in various scientific disciplines in the last two decades has made the study of diffe MoreCo-authorship is one of the most common manifestations of scientific collaboration between researchers and scholars of scientific disciplines. The significant growth of this phenomenon in various scientific disciplines in the last two decades has made the study of different features of co-authorship networks become an interesting issue for researchers. The study of these networks in various scientific disciplines such as mathematics, physics and information sciences using existing tools in the field of social network analysis has been considered. Due to the growing phenomenon of co-authorship in various fields of medical sciences, in this article, the co-authorship network of Iranian researchers in the field of reconstructive medicine has been analyzed. In addition, the network of scientific cooperation between Iranian institutions active in the field of reconstructive medicine has been analyzed and studied. Finally, based on the analysis, suggestions are made to improve the quantitative and qualitative level of research. Manuscript profile -
Open Access Article
35 - Managing the formation of Habermas public domain theory in Instagram and Telegram social networks
Ali asadnzhad Ali Jabari Nahid KordiThe aim of the present study is to manage the formation of Habermas public domain theory in Instagram and Telegram social networks. The research method is field survey and survey. This research is a descriptive research in terms of the purpose of applied research. In th MoreThe aim of the present study is to manage the formation of Habermas public domain theory in Instagram and Telegram social networks. The research method is field survey and survey. This research is a descriptive research in terms of the purpose of applied research. In this research, after conducting library studies and complete and comprehensive compilation of theoretical literature and research background, a questionnaire has been designed and compiled in line with research related theories and research questions and hypotheses and distributed among the respondents. The statistical population of this research consists of the audience (cyberspace users) whose number is estimated at 8,674.621 million and according to Cochran's formula, its statistical sample is equal to 384 people. Therefore, in this research, by following this formula, 384 people have completed a questionnaire as a statistical sample. Using purposive non-random sampling method, the study sample was selected and the research data were analyzed by Pearson correlation method. The results showed that the highest impact in the first place of Internet access (β = 0.42), the second time of logical and rational critique of political, economic, social and cultural issues in social networks (Telegram and Instagram), respectively (= 0.39 b) The third time, the audience had a two-way and free conversation (all) with government officials on social networks (Telegram and Instagram) (β = 0.38). The fourth time, they used social networks (Telegram and Instagram) (β = 0.17). Manuscript profile -
Open Access Article
36 - Identifying the effective actors of forex trading network in the NIMA system using social network analysis
Mehrdad Agha Mohammad Ali Kermani mohammad javad Rokhsat Talab Saeed MirzamohammadiNima system is an integrated system of foreign exchange transactions. Nima is a platform system that has been designed and implemented with the aim of managing the foreign exchange market. In this system, on the supply side, exporters can sell the currency from their ex MoreNima system is an integrated system of foreign exchange transactions. Nima is a platform system that has been designed and implemented with the aim of managing the foreign exchange market. In this system, on the supply side, exporters can sell the currency from their exports, and on the demand side, importers can request to buy foreign currency. Identifying effective actors in each of these markets can have a positive impact on the policies of the main market maker of this system, the central bank.Using social networks analysis (SNA) tools can be a good way to achieve this. Since in these networks each of the actors can only have one of the roles of "buyer" or "seller" and there is only the possibility of trading and communication with the opposite role, these networks can be called bipartite networks. As a result, the usual approaches to identifying effective actors for these networks will not be usable. In contrast to standard approaches, we used a weighted projection algorithm to solve this problem. After projectting each of the two networks of foreign exchange supply and demand, four new networks are created, including the network of seller-exporters, buyer exchange offices, buyer importers, and seller exchange offices. Then We will try to make a method to score and rank the nodes. As a result of the implementation of the algorithm, a ranking was provided for the nodes, based on which the node with the highest rank will be the most important node in our network. Finally, in order to make suggestions to the policymaker, by analyzing the results of the ranking, questions about effective market players were answered. Manuscript profile -
Open Access Article
37 - A Novel Link Prediction Approach on Social Networks
S. Rezavandi Shoaii H. ZareNowadays the network science has been attracted many researchers from a wide variety of different fields and many problems in engineering domains are modelled through social networks measures. One of the most important problems in social networks is the prediction of ev MoreNowadays the network science has been attracted many researchers from a wide variety of different fields and many problems in engineering domains are modelled through social networks measures. One of the most important problems in social networks is the prediction of evolution and structural behavior of the networks that is known as link prediction problem in the related literature. Nowadays people use multiple and different social networks simultaneously and it causes to demonstrate a new domain of research known as heterogenous social networks. There exist a few works on link prediction problem on heterogenous networks. In this paper, first a novel similarity measure for users in heterogenous networks is defined. Then a novel link prediction algorithm is described through a supervised learning approach which is consisted by the generated features from the introduced similarity measures. We employ the standard evaluation criteria for verification of the proposed approach. The comparison of the proposed algorithm to the other well-known earlier works showed that our proposed method has better performance than the other methods based on testing on several network datasets. Manuscript profile -
Open Access Article
38 - Using Evolutionary Clustering for Topic Detection in Microblogging Considering Social Network Information
E. Alavi H. Mashayekhi H. Hassanpour B. Rahimpour KamiShort texts of social media like Twitter provide a lot of information about hot topics and public opinions. For better understanding of such information, topic detection and tracking is essential. In many of the available studies in this field, the number of topics must MoreShort texts of social media like Twitter provide a lot of information about hot topics and public opinions. For better understanding of such information, topic detection and tracking is essential. In many of the available studies in this field, the number of topics must be specified beforehand and cannot be changed during time. From this perspective, these methods are not suitable for increasing and dynamic data. In addition, non-parametric topic evolution models lack appropriate performance on short texts due to the lack of sufficient data. In this paper, we present a new evolutionary clustering algorithm, which is implicitly inspired by the distance-dependent Chinese Restaurant Process (dd-CRP). In the proposed method, to solve the data sparsity problem, social networking information along with textual similarity has been used to improve the similarity evaluation between the tweets. In addition, in the proposed method, unlike most methods in this field, the number of clusters is calculated automatically. In fact, in this method, the tweets are connected with a probability proportional to their similarity, and a collection of these connections constitutes a topic. To speed up the implementation of the algorithm, we use a cluster-based summarization method. The method is evaluated on a real data set collected over two and a half months from the Twitter social network. Evaluation is performed by clustering the texts and comparing the clusters. The results of the evaluations show that the proposed method has a better coherence compared to other methods, and can be effectively used for topic detection from social media short texts. Manuscript profile -
Open Access Article
39 - Analysis of marketing challenges in social networks
seyyede somsye ghorbi Meysam LatifiSocial networks have emerged as a convenient tool for providing products and services to customers by combining online sales and marketing of goods and services. This tool has become a unique tool in modern marketing with features such as information, entertainment, soc MoreSocial networks have emerged as a convenient tool for providing products and services to customers by combining online sales and marketing of goods and services. This tool has become a unique tool in modern marketing with features such as information, entertainment, social creation of people and customers and interaction and retention with customers the present study aimed to identify and analyze the challenges of marketing in social networks. This research is based on an applied purpose and in terms of qualitative method and has an inductive approach. In order to analyze the data of in-depth semi-structured interviews, the content analysis method has been used. The statistical population includes 8 activists and experts in the field of digital marketing and appropriate texts for extracting indicators (theoretical foundations). In this research, snowball method has been used for sampling and saturation of themes has been used as a method to end sampling. The result of qualitative data analysis is the identification of 9 comprehensive themes, 21 organizing themes and 10 basic concepts. Comprehensive themes include user engagement, negative word of mouth, price competition, site / social page optimization, lack of academic training, uncontrollable competition, customer persuasion, lack of skilled manpower, and organizational infrastructure presented in a model. In the end, some suggestions are presented based on the results Manuscript profile -
Open Access Article
40 - Fashionism and Youth: An Emerging Social Problem
Javad Maddahi Alireza GhobadiFashion is a pervasive concept in the life cycle of the contemporary world. A phenomenon that, more than any other group, seduces young people as its followers and seems to be an emerging social problem. The purpose of this study was to investigate the socio-cultural fa MoreFashion is a pervasive concept in the life cycle of the contemporary world. A phenomenon that, more than any other group, seduces young people as its followers and seems to be an emerging social problem. The purpose of this study was to investigate the socio-cultural factors related to youth fashionism. The research method was survey and the statistical population of this research was the youth of Tehran. The sample size was 387 people which was obtained by using Cochran's formula and the sample was selected by multi-stage cluster sampling method. The data collection technique is combination of researcher-made and standard questionnaire that was evaluated for validity and reliability. The reliability measurement through Cronbach's alpha test shows an acceptable level. According to the findings of this study, there is a significant relationship between the variables of age, parental education, social class, personality, public media and social networks, religiosity and fashion. The results of regression analysis show that according to the adjusted coefficient of determination in the regression equation, 50.3% of the variance of the dependent variable is explained by independent variables. Individualism showed the strongest relationship with fashion. Also, in the section of structural equation path analysis, the model indices have an acceptable fit. Manuscript profile -
Open Access Article
41 - Virtual Social Networks and Consumption Patterns of Tehran Citizens
Hadi Barghamadi adel abdollahi Elaheh Shams KoushkiThe purpose of this study was to investigate the relationship between the use of virtual social networks of Tehran citizens and their consumption pattern. The theoretical framework is based on the views of theorists such as Veblen, Giddens and Bourdieu. The approach o MoreThe purpose of this study was to investigate the relationship between the use of virtual social networks of Tehran citizens and their consumption pattern. The theoretical framework is based on the views of theorists such as Veblen, Giddens and Bourdieu. The approach of the present research is quantitative and the research method is descriptive in terms of descriptive path and applied in terms of purpose. Data were collected by a survey method and using a questionnaire tool. The statistical population of the study included citizens over 15 years of age in Tehran who were interviewed using the sample size estimation formula, 600 of them were interviewed using multi-stage stratified sampling. The results, regarding objective dimension, showed that cultural consumption is one of the influential variables in the consumption pattern of Tehran citizens and in addition there is a significant relationship between cultural consumption and the use of virtual social networks. On the other hand, there is a relationship between the use of virtual social networks and the clothing consumption pattern of Tehran citizens. In fact, the use of virtual social networks by Tehran citizens has affected their coverage and how they buy. The results obtained in the mental dimension of the subject under study also indicate that the use of social networks has affected the values and social attitudes of Tehran citizens based on consumerism. Manuscript profile -
Open Access Article
42 - virtual media influence on the spread of iranian culture IRAN
tahereh nikpoor ALIASGHAR KEYA mohammad reza rasouliabstract the purpose ofthisstudy was toinvestigate the effect of cyberspace and specifically social networks on the promotion of iranian environmental culture .this study was anapplied research in terms ofpurpose and exploratory mixed research design which was carriedo Moreabstract the purpose ofthisstudy was toinvestigate the effect of cyberspace and specifically social networks on the promotion of iranian environmental culture .this study was anapplied research in terms ofpurpose and exploratory mixed research design which was carriedout in two stages .in the qualitative part , semi structured interviews were used to explore and describe ideas and attitudes ofinterviewees .so , atfirst , an expert was interviewed and then data analysis was performed in three stages : open , axial and selective coding .as aresult , the open source codes were extracted in the form of axial codes of information functionality , educational and cultural performance , correlation function , promotional function , persuasive function and supervisory function .in quantitative section , among all actors of the environment in the form of ngos and virtual space activists ofiran , 217 people were selected and tested by cochran formula and randomly .aresearcher -made questionnaire was used to collect data in this section .finally , in order to investigate therelationships between variables , structural equation modeling technique was used with smart pls software .the results indicate that thevariables ofinformation function , educational and cultural function , correlation function , advertising function , persuasive function and monitoring function in promoting environmental culture of iran and cultureof environmental pollution are effective .in addition , demographic variables have moderator role in therelationship between thecomponents of cyberspace and culture of culture Manuscript profile -
Open Access Article
43 - Investigating Social Relations between Eco-Tourists and Local People of Hormoz Island
Elham Nasrabadi حنانه محمدی کنگرانی Mehdi Mirzadeh KohshahiEcotourism creates special opportunities to identify a wonderful aspect of nature, provides new information for tourists, and improves the living conditions of the host society. Since the Hormuz Island has a great capability in ecotourism, it can attract a large number MoreEcotourism creates special opportunities to identify a wonderful aspect of nature, provides new information for tourists, and improves the living conditions of the host society. Since the Hormuz Island has a great capability in ecotourism, it can attract a large number of eco-tourists. Identifying and analyzing the friendly networks between eco-tourists and local people of Hormuz Island are the main aims of this study to investigate such relationship and their social effects. Upon conducting interviews and completing questionnaires by selected people, the collected data were analyzed using descriptive analysis, network’s analysis, and Visone’s software. Investigating the social relations between eco-tourists and local people showed that the formation of an informal friendly relationship and cooperation between the inhabitants and eco-tourists of Hormuz Island positively influenced ecotourism. Created social networks helped ecotourism continue in Hormuz Island and would have desirable economic and environmental effects for local people and Hormuz Island. This can have positive consequences such as increasing ecotourism development, sustainable ecotourism, and better ecotourism recognition for Hormuz Island inside and outside of Iran. Manuscript profile -
Open Access Article
44 - The Effect of E-tourism on the Purchase of Tourism Services and its Conformity with the Behavior of Iranian Tourists
Reza Minaee Farshid Namamian Fakhrodin Maroofi Alireza MoradiTourism will soon become the largest service industry in the world with the help of IT. Social networking platforms, which have become prevalent via mobile data, are valuable tools that contribute to the information and telecommunication technology (ICT). These platform MoreTourism will soon become the largest service industry in the world with the help of IT. Social networking platforms, which have become prevalent via mobile data, are valuable tools that contribute to the information and telecommunication technology (ICT). These platforms, which provide interactions and exchanges of various contents among the users, have developed new lifestyles and behavioral models among the tourists. Marketers must enjoy the online social networks and e-tourism to increase their competitiveness, market share, and the generated profit by providing the tourists with some services tailored to their demands. Upon reviewing 100 relevant qualitative and quantitative studies, we used an interpretive structural modeling (ISM) approach to present a model with five primary themes, in order of priority: a major environment, managerial factors, individual factors, group factors, and marketing factors. Through these factors, social networks affected tourists’ behaviors. The model was then tested on Iranian tourists’ behaviors using qualitative and quantitative statistical methods. Results could be used by virtually all marketers and activists in the tourism industry. Manuscript profile -
Open Access Article
45 - Network Analysis of Organizational Cooperation in Tourism Destination Management
Asghar Tahmasebi mehri zavarniyaOrganizational cooperation is regarded as a key factor in the sustainability and competitiveness of tourist destinations. This study sought to investigate the organizational cooperation network and the position of different actors and organizations within the management MoreOrganizational cooperation is regarded as a key factor in the sustainability and competitiveness of tourist destinations. This study sought to investigate the organizational cooperation network and the position of different actors and organizations within the management of Mashhad tourist destinations, using Social Network Analysis. To this end, the data on the organizational interactions of 30 actors involved were collected through surveying and interviewing three key experts in each relevant organization. The data were then analyzed via Ucinet software, using the in-degree, out-degree, and betweenness centrality indicators. The findings of the study indicated that the governmental organizations such as the provincial governments, gubernatorial offices, and the Law Enforcement Forces mostly exercised control and power on Mashhad tourist destinations’ organizational cooperation network. Moreover, with the highest amount of betweenness centrality, the gubernatorial offices, and the Office of Tourism and Cultural Heritage enjoyed the greatest potentials for cooperation within the organizational cooperation network. Manuscript profile -
Open Access Article
46 - Social Networks Embedding Based on the Employment of Community Recognition and Latent Semantic Feature Extraction Approaches
Mohadeseh Taherparvar Fateme Ahmadi abkenari Peyman bayatThe purpose of embedding social networks, which has recently attracted a lot of attention, is to learn to display in small dimensions for each node in the network while maintaining the structure and characteristics of the network. In this paper, we propose the effect of MoreThe purpose of embedding social networks, which has recently attracted a lot of attention, is to learn to display in small dimensions for each node in the network while maintaining the structure and characteristics of the network. In this paper, we propose the effect of identifying communities in different situations such as community detection during or before the process of random walking and also the effect of semantic textual information of each node on network embedding. Then two main frameworks have been proposed with community and context aware network embedding and community and semantic feature-oriented network embedding. In this paper, in community and context aware network embedding, the detection of communities before the random walk process, is performed through using the EdMot non-overlapping method and EgoNetSplitter overlapping method. However, in community and semantic feature-oriented network embedding, the recognition of communities during a random walk event is conducted using a Biterm topic model. In all the proposed methods, text analysis is examined and finally, the final display is performed using the Skip-Gram model in the network. Experiments have shown that the methods proposed in this paper work better than the superior network embedding methods such as Deepwalk, CARE, CONE, and COANE and have reached an accuracy of nearly 0.9 and better than other methods in terms of edge prediction criteria in the network. Manuscript profile -
Open Access Article
47 - nvestigating the Relationship between Religious Beliefs and the Use of Social Networks on Commitment to Islamic Hijab (Case Study: Students of Mohaghegh Ardabili University)
Ali Ahmadpour ALI rezaei sharifThe aim of this study was to investigate the relationship between religious beliefs and dependence on the use of social networks with the degree of observance and commitment to the Islamic hijab of students of Mohaghegh Ardabili University. The statistical population of MoreThe aim of this study was to investigate the relationship between religious beliefs and dependence on the use of social networks with the degree of observance and commitment to the Islamic hijab of students of Mohaghegh Ardabili University. The statistical population of this study was undergraduate students in different fields of Mohaghegh Ardabili University of Ardabil in the academic year of 1398. For this purpose, 430 students (307 girls and 123 boys) in different disciplines were selected by stratified and random cluster sampling. Made replied; In this study, structural equation modeling method was used to analyze the data. Findings indicate that the direct effect of religious dimension, emotional dimension, consequential dimension, ritual dimension on students 'observance of Islamic hijab is significant, also the direct effect of dependence on the use of virtual social networks has an effect on students' observance of Islamic hijab. It is worth noting that the dimensions of student religiosity and dependence on the use of virtual social networks in data analysis overlap. In other words, the dimensions of religiosity and dependence on the use of virtual social networks, if together, can have a significant impact on students' observance of the Islamic hijab. Of course, the effect of religiosity dimensions on dependence on the use of virtual social networks is negative and inverse. Manuscript profile -
Open Access Article
48 - The Genesis of Academic Influencers in Iran
Abbas varijkazemiThe present article studies, influential academic people in Iran and indicate that the position of influencers in the academic environment has also found its place.To conduct this study, we first investigate the concept of fame culture and then review the relationship b MoreThe present article studies, influential academic people in Iran and indicate that the position of influencers in the academic environment has also found its place.To conduct this study, we first investigate the concept of fame culture and then review the relationship between university and influencer culture. The next step is to study the typology of academic influencers in Iran through a literature review, as well as the study of seven professors’ Instagram pages. In general, three general types have been identified. The first category is traditional celebrities, who mostly have a small presence on social networks. The second category is professors-influencers, i.e. those who were born within social networks and whose presence, activity and reputation in the virtual world are greater than in the outside world. The third group has a hybrid identity and has an enriching experience in terms of age, but they are not related to the first group. In other words, they are on the border between the first and the second type, but they have a little bit of their former reputation in the world outside of cyberspace, and they have also created a new position for themselves in social networks.In the comparison between these three types of academics, the major distinctions of academic celebrities as emerging figures will be explained.The professors-influencers are born and live in social networks, they owe their fame to these networks, they establish a more horizontal relationship with their audience, they address a more general population, and they are well aware of the strength of weak ties. And finally, they appear in the role of new intellectual leaders in society. Manuscript profile -
Open Access Article
49 - Pathology of the Effect of Using Social Networks on the Religiosity of Girls and Women
Tahmineh Shaverdi ReyhanehSadat Sahragard MonfardWomen in relation to the role they play in the family, influence the formation of the identity of next generation;especially due to their role as a mother whom train the children and socializing the future generation. On the other hand, changes that occurred in the worl MoreWomen in relation to the role they play in the family, influence the formation of the identity of next generation;especially due to their role as a mother whom train the children and socializing the future generation. On the other hand, changes that occurred in the world in recent decades have provided opportunities to increase this influence. The main object of current research has been understanding the relationship between the use of virtual social networks and the religiosity of women and girls. A quantitative (survey) method has been applied in this research. The research tool is a questionnaire along with an interview. The statistical population of this research consists of women and girls aged 18 to 65 from the cities of Hamedan, Shar-e-Kurd, Shiraz, Ahvaz, Tehran and Kerman, which was conducted based on the evaluation of the developmental level of the provinces announced by the Management and Planning Organization, as well as, the Internet Penetration Rate. The sample size was 1418 people and themulti-stage sampling method were applied. Findings shows that although social networks have an effect on the religiosity of women and girls of the target community,but the effect coefficients are more on ritual dimensions than on belief dimensions and experiential dimensions of religiosity. Also, finding indicat social networks have some effect on Islamic behavior. Manuscript profile -
Open Access Article
50 - Analysis of Thematic Trends of Smart City Studies in the Recent Decade (From the Emergence of the Fourth Industrial Revolution to 2021)
Alireza Noruzi Mohammad Reza Vasfi Somayyeh Jafari BaghiabadiThe fourth industrial revolution, with the convergence of new technologies, has led to the emergence of smart cities. While the smartening of cities by governments has been happening at a high speed, the concept and implementation of the smart city are still being updat MoreThe fourth industrial revolution, with the convergence of new technologies, has led to the emergence of smart cities. While the smartening of cities by governments has been happening at a high speed, the concept and implementation of the smart city are still being updated and changed. In this regard, the current research aims to analyze the thematic trends of publications on smart city in the Web of Science (WoS) database from the emergence of the fourth industrial revolution to 2021, and track the thematic trends of these studies. This scientometric research was carried out descriptively with the content analysis method, using the techniques of co-occurrence analysis and social network analysis. The trends of publications and citation influence of studies in the field of smart cities in the last decade has had an upward growth of 38.78% and 69.49%, respectively. In the three time periods, "IoT, City, Internet, and Wireless Sensor Network" have the most frequency, "IOT, City, Internet, and Wireless Sensor Network" have the most connections, and "ipv6, Sustainable City, and Urban Development" in 2012–2015, "Taxonomy, cloud objects and distributed computing" in 2016–2018 and "Literature review, urban informatics, and sustainable urban development" in 2019-2021 have received the most citations. In 2012–2015, clusters of sensor networks, smartphones, genetic algorithms, advanced sensors, ubiquitous city, and m2m; in 2016-2018 clusters of deep learning, participation, evolutionary algorithms, ubiquitous computing, and smart cities; and in 2019-2021 blockchain clusters, participation citizenship, IoT, topics, technologies, and tools.multi-agent systems, and Brazil were identified. Manuscript profile -
Open Access Article
51 - A Horizon for Sentiment Analysis in Social Networks based on Interpreting Contents
Maryam Tayefeh Mahmoudi َAmirmansour Yadegari Parvin Ahmadi Kambiz BadieInterpreting contents in social networks with the aim of analyzing the sentiment of their narrators is of particular significance. In this paper, we present a framework for such a purpose, which is able to classify the messages hidden in contents based on using some rul MoreInterpreting contents in social networks with the aim of analyzing the sentiment of their narrators is of particular significance. In this paper, we present a framework for such a purpose, which is able to classify the messages hidden in contents based on using some rule-type protocols with high abstraction level. According to this framework, items such as prosodic of a content's narrator, context of disseminating a content and the key propositions in a content's text are regarded in the condition part of a protocol, while the possible classes for the message in a content are considered as its action part. It is to be noted that the proposed rule-type protocols can equally be used for other languages due to the generic-ness of the above-mentioned items. Results of computer simulations on a variety of different contents in the social networks show that the proposed framework is sufficiently capable of analyzing the sentiment of the contents' narrators in these networks. Manuscript profile -
Open Access Article
52 - Friendship Selection Based on Social Features in Social Internet of Things
Mohammad Mahdian S.Mojtaba MatinkhahThe Social Internet of Things (SIoT) network is the result of the union of the Social Network and the Internet of Things network; wherein, each object tries to use the services provided by its friends. In this network, to find the right friend in order to use the right MoreThe Social Internet of Things (SIoT) network is the result of the union of the Social Network and the Internet of Things network; wherein, each object tries to use the services provided by its friends. In this network, to find the right friend in order to use the right service is demanding. Great number of objects' friends, in classical algorithms, causes increasing the computational time and load of network navigation to find the right service with the help of friendly objects. In this article, in order to reduce the computational load and network navigation, it is proposed, firstly, to select the appropriate object friend from a heuristic approach; secondly, to use an adapted binary cuckoo optimization algorithm (AB-COA) which tries to select the appropriate friendly object to receive the service according to the maximum response capacity of each friendly object, and finally, adopting the Adamic-Adar local index (AA) with the interest degree centrality criterion so that it represents the characteristics of the common neighbors of the objects are involved in the friend selection. Finally, by executing the proposed algorithm on the Web-Stanford dataset, an average of 4.8 steps was obtained for reaching a service in the network, indicating the superiority of this algorithm over other algorithms. Manuscript profile -
Open Access Article
53 - A comprehensive survey on the influence maximization problem in social networks
mohsen taherinia mahdi Esmaeili Behrooz MinaeiWith the incredible development of social networks, many marketers have exploited the opportunities, and attempt to find influential people within online social networks to influence other people. This problem is known as the Influence Maximization Problem. Efficiency a MoreWith the incredible development of social networks, many marketers have exploited the opportunities, and attempt to find influential people within online social networks to influence other people. This problem is known as the Influence Maximization Problem. Efficiency and effectiveness are two important criteria in the production and analysis of influence maximization algorithms. Some of researchers improved these two issues by exploiting the communities’ structure as a very useful feature of social networks. This paper aims to provide a comprehensive review of the state of the art algorithms of the influence maximization problem with special emphasis on the community detection-based approaches Manuscript profile -
Open Access Article
54 - Community Detection in Bipartite Networks Using HellRank Centrality Measure
Ali Khosrozadeh Ali Movaghar Mohammad Mehdi Gilanian Sadeghi Hamidreza MahyarCommunity structure is a common and important feature in many complex networks, including bipartite networks. In recent years, community detection has received attention in many fields and many methods have been proposed for this purpose, but the heavy consumption of ti MoreCommunity structure is a common and important feature in many complex networks, including bipartite networks. In recent years, community detection has received attention in many fields and many methods have been proposed for this purpose, but the heavy consumption of time in some methods limits their use in large-scale networks. There are methods with lower time complexity, but they are mostly non-deterministic, which greatly reduces their applicability in the real world. The usual approach that is adopted to community detection in bipartite networks is to first construct a unipartite projection of the network and then communities detect in that projection using methods related to unipartite networks, but these projections inherently lose information. In this paper, based on the bipartite modularity measure that quantifies the strength of partitions in bipartite networks and using the HellRank centrality measure, a quick and deterministic method for community detection from bipartite networks directly and without need to projection, proposed. The proposed method is inspired by the voting process in election activities in the social society and simulates it. Manuscript profile -
Open Access Article
55 - Sociological explanation of the impact of modernization and social networks on ethnic tendencies Case study: Ilam province)
Abdolhossein Rahmati Nabiallah Ider Abdolreza HashemiThis research was conducted with the aim of investigating modernization and social networks, two important components of globalization and its effect on the ethnic tendencies of the people of Ilam province, to show how the identities of the people of Ilam province relat MoreThis research was conducted with the aim of investigating modernization and social networks, two important components of globalization and its effect on the ethnic tendencies of the people of Ilam province, to show how the identities of the people of Ilam province relate to global identities. In this research, the statistical population is all people living in the province. Ilam with a population of 580,158 people, based on Cochran's formula, the statistical sample size is 270 people, and the sampling method is simple probability, the survey method and the data collection tool of Hop Rashnameh. Cronbach's alpha coefficient was used to measure the reliability of the data and face validity method was used to measure the validity. The results of the research were analyzed using Pearson's correlation coefficient, variance analysis and regression analysis. They are an important component of globalization, there is a significant relationship with ethnic tendencies. This means that traditional communities like Ilam province have become dependent on the modern world, which has caused a decrease in the sense of belonging and ethnic attachment of the people of Ilam province. Based on the findings, it can be concluded that the ethnic trends in Ilam province, unlike the past, in the contemporary era, have gone out of a solid and uniform state, and modernization and social networks have had an impact on it. Manuscript profile -
Open Access Article
56 - Investigating Twitter campaigns of Violence Against Women
shima nasertork ali delavar afsaneh mozaffari tahmores shiriOne of the most important topics that social networks -Twitter- have paid attention to is violence against women in Iran. The most important theoretical support in the emergence of these campaigns is the reflection of the texts about violence against women. One of the m MoreOne of the most important topics that social networks -Twitter- have paid attention to is violence against women in Iran. The most important theoretical support in the emergence of these campaigns is the reflection of the texts about violence against women. One of the most important factors in the emergence of such waves is the important activists in the field of these social networks, who use their followers to reflect these contents. The most important campaigns in terms of the number of tweets and retweets was the "Girls of the Revolution" campaign. The aim of the research is to analyze the performance of Twitter in reflecting the content of violence against women in Iran based on the most important campaigns that have emerged in the last decade. This issue was analyzed based on the theoretical foundations of types of violence and networked movements. The research method is the content analysis of tweets and hashtags related to campaigns from 2016 to 2016. The research results showed that the most important themes are about social and political violence against women. In this regard, some campaigns and hashtags have caused insecurities in the society the most important of which was the campaign of the girls of Enghelab Street in terms of the number of tweets and retweets. the analysis of the themes of tweets showed the absence of news, posts and tweets of people related to campaigns and hashtags. Manuscript profile -
Open Access Article
57 - Investigating the Sociological Causes of the Tendency to Use Mobile Social Networks
Saeed Mohammadi Sadegh hossein ebrahimSocial networks have a significant impact on the collective and individual lives of people, and the amount and scope of their use increases every day. Social factors are among the most decisive factors in the field of using these types of networks. Therefore, in this re MoreSocial networks have a significant impact on the collective and individual lives of people, and the amount and scope of their use increases every day. Social factors are among the most decisive factors in the field of using these types of networks. Therefore, in this research, an attempt has been made to study the effect of these types of factors including family, friends, relatives, ethnicity, media and social base on the use of social networks and its effect on the interpersonal and family relationships of Zahedan youth. The method of this research is the survey and the method of gathering information using a structured interview-based questionnaire tool, and the sample size is 300 people. In order to extract the data of this research from spss software and to analyze the data from the statistical tests of analysis of variance, the correlation coefficient was used for the intensity of the link between the variables along with the significance level of the test (sig). This research aims to answer the questions of how much the youth of Zahedan use mobile social networks? And what are the social factors affecting the use of these mobile social networks by the youth of Zahedan. The results of this research showed that: 49% of respondents use mobile social networks. Social factors such as: interpersonal relationships, family and family relationships, etc. can predict a total of 88.2% of the variance of the dependent variable, i.e. the use of mobile social networks Manuscript profile -
Open Access Article
58 - A Recommender System Based on the Analysis of Personality Traits in Telegram Social Network
Mohammad Javad shayegan mohadeseh valizadeh<p style="text-align: left;"><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Nazanin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: FA;">Analysis of perso More<p style="text-align: left;"><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Nazanin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: FA;">Analysis of personality traits of individuals has always been one of the interesting research topics. In addition, achieving personality traits based on data obtained from individuals' behavior is a challenging issue. Most people spend most of their time on social media and may engage in behaviors that represent a character in cyberspace. There are many social networks today, one of which is the Telegram social network. Telegram also has a large audience in Iran and people use it to communicate, interact with others, educate, introduce products and so on. This research seeks to find out how a recommendation system can be built based on the personality traits of individuals. For this purpose, the personality of the users of a telegram group is identified using three algorithms, Cosine Similarity, MLP and Bayes, and finally, with the help of a recommending system, telegram channels tailored to each individual's personality are suggested to him. The research results show that this recommending system has attracted 65.42% of users' satisfaction.</span></p> Manuscript profile -
Open Access Article
59 - The main components of evaluating the credibility of users according to organizational goals in the life cycle of big data
Sogand Dehghan shahriyar mohammadi rojiar pirmohamadianiSocial networks have become one of the most important decision-making factors in organizations due to the speed of publishing events and the large amount of information. For this reason, they are one of the most important factors in the decision-making process of inform MoreSocial networks have become one of the most important decision-making factors in organizations due to the speed of publishing events and the large amount of information. For this reason, they are one of the most important factors in the decision-making process of information validity. The accuracy, reliability and value of the information are clarified by these networks. For this purpose, it is possible to check the validity of information with the features of these networks at the three levels of user, content and event. Checking the user level is the most reliable level in this field, because a valid user usually publishes valid content. Despite the importance of this topic and the various researches conducted in this field, important components in the process of evaluating the validity of social network information have received less attention. Hence, this research identifies, collects and examines the related components with the narrative method that it does on 30 important and original articles in this field. Usually, the articles in this field are comparable from three dimensions to the description of credit analysis approaches, content topic detection, feature selection methods. Therefore, these dimensions have been investigated and divided. In the end, an initial framework was presented focusing on evaluating the credibility of users as information sources. This article is a suitable guide for calculating the amount of credit of users in the decision-making process. Manuscript profile -
Open Access Article
60 - Identify and analyze decision points and key players in procurement process in the EPC companies
Seyedeh Motahareh Hosseini Mohammad aghdasimCorrect and timely decisions have a significant impact on the performance and achievement of the company's goals. In other words, business process management depends on making and implementing rational decisions. By increasing the integration of information systems in o MoreCorrect and timely decisions have a significant impact on the performance and achievement of the company's goals. In other words, business process management depends on making and implementing rational decisions. By increasing the integration of information systems in organizations and using tools such as process mining, a platform is provided for the use of data analysis approaches and better analysis of decisions, and managers can act in agile decision making. Selecting a supplier in the process of purchasing in complex projects is one of the basic and key decisions that affect the quality, cost and performance of the project. In this article, with a process perspective, the decision points in the purchasing process in a complex construction project in an EPC company have been discovered and the key players in the implementation of the process have been identified and analyzed through social network analysis. The results of this research have led to the investigation of decision points in the process, the performance of decision points and the identification of key people in decision making, which can be used to improve the company's future performance. Manuscript profile -
Open Access Article
61 - Sociological explanation of the impact of modernization and social networks on ethnic tendencies Case study: Ilam province
Abdolhossein Rahmati نبی اله ایدر Abdolreza HashemiThis research was conducted with the aim of investigating modernization and social networks, two important components of globalization and its effect on the ethnic tendencies of the people of Ilam province, to show how the identities of the people of Ilam province rel MoreThis research was conducted with the aim of investigating modernization and social networks, two important components of globalization and its effect on the ethnic tendencies of the people of Ilam province, to show how the identities of the people of Ilam province relate to global identities. In this research, the statistical population is all people living in the province. Ilam with a population of 580,158 people, based on Cochran's formula, the statistical sample size is 270 people, and the sampling method is simple probability, the survey method and the data collection tool of Hop Rashnameh. Cronbach's alpha coefficient was used to measure the reliability of the data and face validity method was used to measure the validity. The results of the research were analyzed using Pearson's correlation coefficient, variance analysis and regression analysis. They are an important component of globalization, there is a significant relationship with ethnic tendencies. This means that traditional communities like Ilam province have become dependent on the modern world, which has caused a decrease in the sense of belonging and ethnic attachment of the people of Ilam province. Based on the findings, it can be concluded that the ethnic trends in Ilam province, unlike the past, in the contemporary era, have gone out of a solid and uniform state, and modernization and social networks have had an impact on it. Manuscript profile -
Open Access Article
62 - The Relationship Between Adolescent Disobedience and Dependence on Social Networks virtual in the Family Environment (Case study: Secondary School Students of District 17 of Tehran)
Tahmineh Shaverdi zeinab Maghferati ShamsabadThe aim of this research is to analyze the disobedience of adolescents in the family environment based on addiction to virtual social networks among secondery school students of the 17th district of Tehran. The study method is survey and the statistical population is th MoreThe aim of this research is to analyze the disobedience of adolescents in the family environment based on addiction to virtual social networks among secondery school students of the 17th district of Tehran. The study method is survey and the statistical population is the lower secondery school of the 17th district of Tehran. The sample size is 347 individuals selected using simple random sampling method based on Cochran's formula. The data collection tools consist of the Addiction to Social Networks questionnaire (Yang 1998) and the Adolescents' Disobedience questionnaire (Motamedi and colleagues 2021).The results of the Pearson correlation test showed that the relationship between daily activity disorder, family-social functioning, mental health, and self-control with adolescent disobedience is equal to 21%, 31%, 25%, and 25% respectively. Furthermore, regression model analyses showed that the impact of addiction to social networks on adolescent disobedience is 33%. Manuscript profile -
Open Access Article
63 - A Framework for Sentiment Analysis in Social Networks based on Interpreting Contents
Maryam Tayfeh-Mahmoudi َAmirmansour Yadegari Parvin Ahmadi kambiz badieInterpreting contents with the aim of analyzing the sentiment of their narrators in social networks, holds a high significance due to the role of a content in disseminating information to the corresponding human groups. In this paper, we propose a framework for analyzin MoreInterpreting contents with the aim of analyzing the sentiment of their narrators in social networks, holds a high significance due to the role of a content in disseminating information to the corresponding human groups. In this paper, we propose a framework for analyzing sentiment on complex contents in a social network according to which a set of if-then type rules defined at high abstraction level, would be able to classify the messages behind these contents. According to this framework, items such as prosodic, context and key propositions are considered in the condition part of a rule and possible classes of message are taken into account in a rule’s action part. It is to be noted that the rules proposed for interpreting a content do not depend on the considered language due to the very inherent property of the items which are considered in interpretation. Results of experiments on a wide range of different contents in a social network support the fact that the proposed framework is sufficiently capable of analyzing the sentiments of contents’ narrators. Manuscript profile -
Open Access Article
64 - Community Detection in Bipartite Networks Using HellRank Centrality Measure
Ali Khosrozadeh movaghar movaghar Mohammad Mehdi Gilanian Sadeghi Hamidreza MahyarCommunity structure is a common and important feature in many complex networks, including bipartite networks. In recent years, community detection has received attention in many fields and many methods have been proposed for this purpose, but the heavy consumption of ti MoreCommunity structure is a common and important feature in many complex networks, including bipartite networks. In recent years, community detection has received attention in many fields and many methods have been proposed for this purpose, but the heavy consumption of time in some methods limits their use in large-scale networks. There are methods with lower time complexity, but they are mostly non-deterministic, which greatly reduces their applicability in the real world. The usual approach that is adopted to community detection in bipartite networks is to first construct a unipartite projection of the network and then communities detect in that projection using methods related to unipartite networks, but these projections inherently lose information. In this paper, based on the bipartite modularity measure that quantifies the strength of partitions in bipartite networks and using the HellRank centrality measure, a quick and deterministic method for community detection from bipartite networks directly and without need to projection, proposed. The proposed method is inspired by the voting process in election activities in the social society and simulates it. Manuscript profile
Rimag
Rimag is an integrated platform to accomplish all scientific journal requirements such as submission, evaluation, reviewing, editing, DOI assignment and publishing in the web.
Links
Related Centers
Technical Support
Official pages
The rights to this website are owned by the Raimag Press Management System.
Copyright © 2017-2024