Shila Babakhani; Nasim Majidi; abbas asadi
Abstract
One of the most important consequences of Iranians' bio-virtualization is the possible changes in the political norms and attitudes of the society or the political culture. Political culture in Iran as a cultural space that shows how people relate to the political system as much as it is influenced by ...
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One of the most important consequences of Iranians' bio-virtualization is the possible changes in the political norms and attitudes of the society or the political culture. Political culture in Iran as a cultural space that shows how people relate to the political system as much as it is influenced by various phenomena such as revolution, the structure of the political system, government agents, etc., it is likely that the emergence and expansion of social networks be affected. The scope of this research includes professors, experts in political science and communication sciences (political communication), and political sociology who have been selected by the method of snowball. Three methods of a systematic review of the texts and literature, exploratory interview, and researcher-made questionnaire were used to collect research information and data. Delphi panel is implemented in three rounds. Among the 28 components proposed by the experts in the first round, 7 components approved in the second round are in order of importance and priority: lack of trust, criticism/destruction of the political system, political extremism, autonomy, xenophobia / alien paradox Orientation, non-participatory / protest orientation; and biased behaviors. Finally, in the third round, the most accurate and important indicators were selected for each of these components. The most important achievement of this study is the introduction of two components of Iranian political culture that basically belong to the age of modern media: criticism/destruction of the political system and non-participatory / protest orientation.
Fereshteh-Azadi Parand; Farzam Matinfar; Fatemeh Mehdikhanloo
Abstract
Mobile social networks facilitate connections through mobile devices, and users of these networks can use mobile to access, share and distribute information. With increasing the number of users on social networks, the large amount of shared information and the dissemination of created information cause ...
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Mobile social networks facilitate connections through mobile devices, and users of these networks can use mobile to access, share and distribute information. With increasing the number of users on social networks, the large amount of shared information and the dissemination of created information cause some problems such as rumor propagation and access to incorrect information. The most powerful tools for validity of received information is based upon the trust value which is assigned by the others. However, considering the subjective and perceptive nature of the concept of trust, the mapping of trust in a computational model is one of the important issues in computing systems of social networks. In addition, there may be various communities on social networks and all users will not be directly connected to each other, which leads to a more complex process of calculating trust. In this research, using user characteristics in social networks, a fuzzy classification approach is proposed, and the trust is computed between users in a class using a computational model. Also trust is gained between users who are not directly connected, using the combination, transition and aggregation processes. By comparing the results, it can be seen that the proposed method recognizes trustworthy people with high precision.
