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Hierarchical agglomerative algorithm is widespread used in community detection of social networks. This paper explores an enhanced similarity which is based on interactive behavior of social members. The enhanced similarity expands the concept of similarity from vertexes to communities in the social network. Furthermore, the hierarchical agglomerative algorithm has been applied and the enhanced similarity...
Social networks can be modeled by graphs with nodes and edges, and communities are sub graphs within networks. This paper proposes a new dynamic algorithm based on the modularity given by Newman and Girvan (NG modularity for short). Further more, this paper applies the proposed algorithm to real network data. The experimental results show that our algorithm can dynamically detect communities in a...
Social networks can be modeled by graphs with nodes and edges, and communities are sub graphs within networks - groups of nodes within which connections are dense, but between them connections are sparser. According to this property of communities, this paper proposes a new modularity for measuring how good a particular division is based on the concept of coupling coefficient. Further more, this paper...
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