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An evolving network model with community structure | | Chunguang Li
; Philip K. Maini
; | | Date: |
26 Oct 2005 | | Journal: | Journal of Physics A: Mathematical and General 38 (2005) 9741-9749 | | Abstract: | Many social and biological networks consist of communities - groups of nodes within which connections are dense, but between which connections are sparser. Recently, there has been considerable interest in designing algorithms for detecting community structures in real-world complex networks. In this paper, we propose an evolving network model which exhibits community structure. The network model is based on the inner-community preferential attachment and inter-community preferential attachment mechanisms. The degree distributions of this network model are analyzed based on a mean-field method. Theoretical results and numerical simulations indicate that this network model has community structure and scale-free properties. | | Source: | arXiv, physics/0510239 | | Services: | Forum | Review | PDF | Favorites | |
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