List of Articles Social network analysis

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  1 - Analysis of expert finding algorithms in social network in order to rank the top algorithms
  AhmadAgha kardan Behnam Bozorgi
  10.7508/jist.2017.20.002
  The 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 More

  The 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
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  2 - A Hybrid Cuckoo Search for Direct Blockmodeling
  Saeed NasehiMoghaddam mehdi ghazanfari babak teimourpour
  10.7508/jist.2017.18.001
  As 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 More

  As 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
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  3 - Publication Venue Recommendation Based on Paper’s Title and Co-authors Network
  Ramin Safa Seyed Abolghassem Mirroshandel Soroush Javadi Mohammad Azizi
  10.7508/jist.2018.21.005
  Information 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 More

  Information 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
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  4 - analysis of co-authorship network of Iranian regenerative medicine scholars;
  Atieh bozorgipour Soroosh Ghazinoori Mohammad Ghazinoori
  Co-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 More

  Co-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
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  5 - Network Analysis of Organizational Cooperation in Tourism Destination Management
  Asghar   Tahmasebi mehri zavarniya
  Organizational 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 More

  Organizational 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
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  6 - 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 Baghiabadi
  10.52547/jstpi.39816.19.73.10
  The 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 More

  The 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
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  7 - Identify and analyze decision points and key players in procurement process in the EPC companies
  Seyedeh Motahareh  Hosseini Mohammad aghdasim
  Correct 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 More

  Correct 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