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Network communities refer to groups of vertices within which their connecting links are dense but between which they are sparse. A network community mining problem (or NCMP for short) is concerned with the problem of finding all such communities from a given network. A wide variety of applications can be formulated as NCMPs, ranging from social and/or biological network analysis to web mining and...
The term of social network communities refers to groups of individuals within which social interactions are intense and between which they are weak. A social network community mining problem (SNCMP) can be stated as the problem of finding all such communities from a given social network. A wide variety of applications can be formulated into SNCMPs, ranging from Web intelligence to social intelligence...
By defining community recursive coefficient M, we propose a new efficient algorithm called filtration split algorithm for discovering community structure in complex networks. By optimizing the M of child-networks based on dynamic recursive principle, the local communities are discovered automatically. Theoretical analysis and experiment results show that the algorithm can filtrate more than one edge...
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