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Review of Community Detection Approaches in Social Networks using Bayesian Method and Graph Theory

Online social networks create significant challenges to computer scientists, physicists, and sociologists alike, for their massive size, fast evolution, and uncharted potential for social computing. One particular problem that has interested us is community identification. In this review, we focus on “community detection in social networks” through different approaches and techniques mainly Bayesian theorem and graph theory. At last, the authors point out some further research directions in SNA. Keywordssocial networks, community detection, graph theory, Bayesian theorem.