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A evolving network model generated by random walk and policy attachment

Jiang Zhi-Hong Wang Hui Gao Chao

A evolving network model generated by random walk and policy attachment

Jiang Zhi-Hong, Wang Hui, Gao Chao
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  • Received Date:  28 May 2010
  • Accepted Date:  13 August 2010
  • Published Online:  15 May 2011

A evolving network model generated by random walk and policy attachment

  • 1. College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China

Abstract: Real-world networks always present some complex network properties simultaneously, such as small-world, scale-free, high clustering and assortative/disassortative mixing, etc. , but only part of these properties can be reproduced in most of complex network models. In this paper, a new complex network model generated by random walk and policy attachment(RAPA) is proposed. A new peer constructs a local world by random walking, and attaches itself to peers in the local world following the policy of "random selection", "poverty alleviation" or "favoring the rich". The results of analysis computing and simulation demonstrate that RAPA model can reproduce not only small-world and scale-free features, but some non-power-law features such as exponential cutoff and saturation for small variables. In addition to these, RAPA model also constructs some networks with evident clustering structure and assortative/disassortative mixing pattern.

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