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A new community-based evolving network model

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  • Xie, Zhou
  • Li, Xiang
  • Wang, Xiaofan

Abstract

In order to describe the community structure upon the dynamical evolution of complex networks, we propose a new community based evolving network (CBEN) model having increasing communities with preferential mechanisms of both community sizes and node degrees, whose cumulative distribution and raw distribution follow scale-invariant power-law distributions P(S⩾s)∼s−ν and P(k)∼k−γ with exponents of ν⩾1 and γ∈[2, +∞), respectively. Besides, complex networks generated by the CBEN model are hierarchically structured, which cover the range from disassortative networks to assortative networks.

Suggested Citation

  • Xie, Zhou & Li, Xiang & Wang, Xiaofan, 2007. "A new community-based evolving network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 725-732.
    • Handle: RePEc:eee:phsmap:v:384:y:2007:i:2:p:725-732
    DOI: 10.1016/j.physa.2007.05.031
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    Cited by:

    1. Martin, Nigel & Rice, John, 2015. "Improving Australia's renewable energy project policy and planning: A multiple stakeholder analysis," Energy Policy, Elsevier, vol. 84(C), pages 128-141.
    2. Mercer-Mapstone, Lucy & Rifkin, Will & Louis, Winnifred & Moffat, Kieren, 2017. "Meaningful dialogue outcomes contribute to laying a foundation for social licence to operate," Resources Policy, Elsevier, vol. 53(C), pages 347-355.
    3. Jiao, Bo & Nie, Yuan-ping & Shi, Jian-mai & Huang, Cheng-dong & Zhou, Ying & Du, Jing & Guo, Rong-hua & Tao, Ye-rong, 2016. "Scaling of weighted spectral distribution in deterministic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 632-645.

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