A modified BA model with tunable clustering and better robustness

  • Authors:

  • Guangming He;Haiyan Chen;Jingyu Yang

  • Affiliations:

  • Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China;Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China;Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China

  • Venue:
  • IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
  • Year:
  • 2012

  • Graph structure in the Web

    Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking

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Abstract

A modified BA modeling algorithm with "randomly chosen edges" and "triad formation step" is proposed in this paper. The basic characteristics and robustness against attack of the modified BA model and the standard BA model are analyzed by both analytically and numerical simulations, which shows our model possesses the same characteristics as the standard BA model, but with the high clustering coefficient and better robustness at the same time.