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2009 Volume 18 Issue 3
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Xu Qi-Xin, Xu Xin-Jian. 2009: Generating weighted community networks based on local events, Chinese Physics B, 18(3): 933-938.
Citation: Xu Qi-Xin, Xu Xin-Jian. 2009: Generating weighted community networks based on local events, Chinese Physics B, 18(3): 933-938.
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Generating weighted community networks based on local events

  • Department of Mathematics, College of Science, Shanghai University, Shanghai 200444, China

  • Available Online: 30/03/2009
  • Fund Project: ct 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 10805033)
  • 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.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Generating weighted community networks based on local events

  • Available Online: 30/03/2009

Abstract: 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.

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