Different types of contact, including contact between node pairs, any-contact of nodes, and contacts of the entire network, are used to characterize social relations in mobile social networks. Different modes of routing, from the point of view of message delivery semantics, encompass unicasting, multicasting, any-casting, and broadcasting. Studies have shown that using probability distribution functions of contact data, which is mainly assumed to be homogeneous for nodes, improves the performance of these networks. However, there exists an important challenge in studies on distributions. A lot of works apply the distribution of one type of contact to other types. Hence in routing applications, it causes to use of the distribution of one type of contact for any mode of routing. This study provides a complete solution to model each type of homogeneous contact data distribution and to use them in different modes of routing. We propose a routing algorithm that uses this new model. Results show that our solution improves the average latency of comparing methods Epidemic, TCCB, and DR about 3.5-times, 30%, and 45%, respectively. It achieves a delivery rate of about 5% and 6%, and average latency about 6% and 8% better than that of DR and TCCB, respectively.

The ethical actions are important because of the priority of the mission goal and their close relationship with social progress and development. Therefore, the purpose of this research is the identification and social analysis of these types of actions among the verses of revelation and it deals with the effect of ethical actions in the production of social capital in the process of progress based on religious teachings and answers these questions based on the Quranic teachings. What impact do ethical actions (behavior) have on the formation of social progress? How do moral actions generate social capital and influence progress (development)? What coordinates, examples and dimensions does this group of actions have? What are the effects and consequences of this group of actions? Those actions that are desirable and progressive in the development of social interactions have been socially studied, analyzed and searched by using the inductive content analysis method. Honesty, trustworthiness and fulfillment of an obligation, altruism (Arabic: إیثار, self-sacrifice), asking forgiveness or istighfār (Arabic: استغفار ʾistiġfār), and forgiving others, kindness, non-violence, chastity and purity, patience and honesty and benevolent actions combined with social supervision have been discussed, which lead to sincerity, togetherness, coherence and expansion of social interactions and emotional relationships far from hatred and warm and emotional relationships and as a result, it causes the production of social capital and its improvement and will lead to the density of actions focused on purpose and excellence that are necessary for progress.

Introduction and Objective: social interaction is a fundamental element of any society. On the network, they are considered as social capital and personal relationships and connections through the network gains access to resources and support. The main objective of this research is to study social capital in virtual social networks. Given the importance of social interaction in virtual social networks, social capital in this study, structural dimensions (size and composition of the network), interactive (frequency of contact and intimacy) and functional (support) has been studied.Methods: This survey was conducted using questionnaires and the dimensions of social capital, the impact of social factors on social capital networks are examined. The research in Persian language is virtually all social networks. Sample size of 386 patients who were selected by snowball non-probability sampling.Conclusion: The results suggest that different dimensions of social capital and in every aspect of the building, which was interactive and functional results, may be differences of social capital in the real world. The effects of social and demographic variables on network social capital in this study confirmed the causal model and research hypotheses have been formed by the impact of impression and interaction.

Social networks, networks that have come into existence, are on the Internet, whose purpose of the establishment is to communicate with different people from different societies. Social networks are a developed form whose information is not trusted by all individuals. Although, it is a popular network that can provide trusted information for some people. If one or more users receive some information from oth-ers, they should assure they have not recieved incorrect data from malicious users. Solutions to these prob-lems are confidence models. Provided that trust deals withpossibilities, Bayesian networks use possibilities to solve problems. As a result, the Bayesian network can improve the calculation of trust. In this study, the proposed model (BTSN) presents a model for calculating confidence using Bayesian networks for social networking. This model is able to calculate the confidence accurately and, in a large scale, can be used in social networks. In addition, the the performance and methods have been studied.

The aim of the current research is to determine the impact of social networks in creating dramatic collective behaviors in urban public spaces. The research approach in this quantitative study, the research method in terms of objective, fundamental-applied and the method of data collection, is a descriptive survey type. The statistical population of the current study includes all people over 15 years old living in Kerman. Based on random cluster sampling method, 384 people were selected and examined. In order to collect data in the field part, a researcher-made questionnaire was used with a reliability coefficient of 0. 79. He is a resident of Kerman. Also, to test the hypotheses of the research, sample t-test, Pearson correlation, and regression were used. The results obtained from the hypothesis test show It showed that the average of all items is higher than 3 (theoretical average). Also, the correlation values ​​between the research components with the amount of use of social networks are at a medium and high level. So that in today's world, no society can claim that it will be safe from the effects of this crisis. Today's religious and national identities, each in a different way, are facing some kind of crisis and inappropriate collective behavior. The highest correlation value between the amount of use of social networks and dramatic collective behaviors is in the dimension of social phobia (R=0. 518). Therefore, despite the fact that the media causes the development and strengthening of cohesion in many cases, but in the individual aspect,

Social networks play a highly significant role in the relationships of people around the world. So that they have become an integral part of most people's lives. The basis of these networks is to facilitate and shorten the communication path between people in society, but in addition, social networks play an important role in the production of digital content, in other words, one of the platforms that produce the most digital content is social networks. In this article, the content presented in social networks such as Telegram, Instagram, Facebook, etc. are discussed, and then ideas are presented for the production of digital content