The Mathematical Institute, University of Oxford, Eprints Archive

An evolving network model with community structure

Li, C. and Maini, P. K. (2005) An evolving network model with community structure. Journal of Physics A: Mathematical and General, 38 (45). pp. 9741-9749.

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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 analysed based on a mean-field method. Theoretical results and numerical simulations indicate that this network model has community structure and scale-free properties.

Item Type:Article
Subjects:A - C > Biology and other natural sciences
Research Groups:Centre for Mathematical Biology
ID Code:337
Deposited By:Philip Maini
Deposited On:09 Nov 2006
Last Modified:20 Jul 2009 14:20

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