This paper is focused on the identification of influencers that can have an important impact over the decision-making of other users. For this purpose, a popular electronic word-of-mouth community like Ciao.com has been modelled as a social network. Using social network analysis techniques, the existence of influencers is justified by the power law distribution of user participation, and then t...

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Spatiotemporal social network analysis can show relationships among people at a particular time and location. This paper presents an algorithm that mines text for person and location words and creates connections among words. It shows how this algorithm output, when chunked by time intervals, may be visualized by third-party social network analysis software in the form of standard network pin d...

Social learning network analysis has drawn attention for most researcher on e-learning research domain. This is due to the fact that it has the capability to identify the behavior of student during their social interaction inside e-learning. Normally, the social network analysis (SNA) is treating the students' interaction merely as node and edge with less meaning. This paper focuses on providin...

The aim of this study was to compare the social capital indicators of members and non-members of cooperatives in Siahkal County.  The sample size was calculated by the Cochran formula to include300individuals (150 member cooperatives and 150 non-members of the cooperative) that were selected by the stratified random sampling method. The main tool employed in this study was a questionnaire that ...

In two studies we investigate whether social exclusion—a well-studied, common and quite painful social experience-influences people’s perceptions of novel social networks. In a first study, exclusion experiences led people to report that novel networks were more dense relative to those who had not been excluded. As predicted, this was true only for social networks; exclusion had no impact on pe...