List of Articles تحلیل شبکه‌های اجتماعی

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - 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 Mirzamohammadi
  Nima 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 More

  Nima 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
  • Abstract Page
  • Full-Text
  
  2 - 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
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - A comprehensive survey on the influence maximization problem in social networks
  mohsen taherinia mahdi Esmaeili Behrooz Minaei
  With 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 More

  With 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