book social media are reading communities primarily developed as online social networks. this study aims to find precise criteria and indicators for evaluation of book social network and examine and rank the most popular book social networks. the sample population included 10 english and two persian book/reading social networks publicly available on the web. a checklist containing 9 main criter...

This study examines the relationship between bicultural individuals’ identity structure and their friendship network. A key dimension of identity structure for first-generation immigrants is the degree to which the secondary, host-culture identity is integrated into the primary, ethnic identity. Among first-generation Chinese Americans, regression analyses controlling for cultural identificatio...

Structure and evolution of networks have been areas of growing interest in recent years, especially with the emergence of Social Network Analysis (SNA) and its application in numerous fields. Researches on diffusion are focusing on network modeling for studying spreading phenomena. While the impact of network properties on spreading is now widely studied, involvement of network dynamicity is ve...

In this paper, we try to see how virtual networks can af- fect the behavior of the young. Since there are so many indices to be affected by social networks, we evaluate these effects only on 10 more comprehensive behaviors as follows: identity, getting information and the rumors, rationalism,life style, spare time, religions rituals and cer- emonies, interaction with family, employment and eco-...

community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...

The study of social systems shows that there is a relationship of mutual influence between social connections and individual behavior, known as homophily. In this work, we developed a methodology to allow the analysis of interests of groups of users in Twitter network, based on automatic community detection and tweets ranking. The techniques presented reveal evidences that the presence of commu...