Computer Science – Social and Information Networks
Scientific paper
2011-06-13
Computer Science
Social and Information Networks
35 pages, Submitted to PLoS ONE, 2012
Scientific paper
Understanding social dynamics that govern human phenomena, such as communications and social relationships is a major problem in current computational social sciences. In particular, given the unprecedented success of online social networks (OSNs), in this paper we are concerned with the analysis of aggregation patterns and social dynamics occurring among users of the largest OSN as the date: Facebook. In detail, we discuss the mesoscopic features of the community structure of this network, considering the perspective of the communities, which has not yet been studied on such a large scale. In fact, first we acquired a sample of this network containing millions of users and their social relationships; then, we unveiled the communities representing the aggregation units among which users gather and interact; finally, we analyzed the statistical features of such a network of communities, discovering and characterizing some specific organization patterns followed by individuals interacting in online social networks, that clearly emerge even if considering different sampling techniques and clustering methodologies. The implications of this study reflect the ability of individuals of exploiting social interactions in such a way as to create a well-connected online social structure and open space for further social studies.
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