Social networks

List of Articles Social networks

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1 - Structural Modeling of strengthening purchase intention in the Instagram as a social network
یاسر سبحانی فرد

The 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 More

The 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
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2 - Managing the formation of Habermas public domain theory in Instagram and Telegram social networks
Ali asadnzhad Ali Jabari Nahid Kordi
20.1001.1.22286047.1401.21.72.1.0

The 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 More

The 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
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3 - 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
20.1001.1.22286047.1400.20.68.1.5

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

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List of Articles Social networks