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Robustness of emerged community in social network

The social networks and the study of communities of interest became an actual challenge in several research areas. Community detection techniques have found a large number of practical applications as a method to simplify networks since the number of clusters is often much smaller than the number of nodes. In this paper, we study two aspects. In the first part, we focus on the induced social interactions by the communication between the individuals (peers) of a network in order to extract properties of the resultant community structures. Plenty of communication protocols were defined to allow and improve the data exchange between the different peers of the network [13][19][18]. The second part of our work concerns the study of the robustness of emerging communities.