Abstract Many realistic networks have community structures, namely, a network consists of groups of nodes within which links are dense but among which links are sparse. This paper proposes a growing network model based on local processes, the addition of new nodes intra-community and new links intra- or inter-community. Also, it utilizes the preferential attachment for building connections determined by nodes' strengths, which evolves dynamically during the growth of the system. The resulting network reflects the intrinsic community structure with generalized power-law distributions of nodes' degrees and strengths.
Received: 30 June 2008
Revised: 22 August 2008
Accepted manuscript online:
Fund: Project supported by Institute of
Systems Biology, the Innovation Foundation of Shanghai University of
Shanghai University of China and the National Natural Science
Foundation of China (Grant No 10805033).
Cite this article:
Xu Qi-Xin(徐琪欣) and Xu Xin-Jian(许新建) Generating weighted community networks based on local events 2009 Chin. Phys. B 18 933
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