Opinion dynamics on triad scale free network

  • Authors:

  • Li Qianqian;Liu Yijun;Tian Ruya;Ma Ning

  • Affiliations:

  • Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China;Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China;Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China, Graduate University of Chinese Academy of Sciences, Beijing, China;Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China, Graduate University of Chinese Academy of Sciences, Beijing, China

  • Venue:
  • AMT'12 Proceedings of the 8th international conference on Active Media Technology
  • Year:
  • 2012

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Abstract

In this paper, we investigate the opinion dynamics model of social impact theory on triad scale free network with power law degree distribution and tunable clustering coefficient. Based on this opinion dynamic model, we try to observe the clustering coefficient influence on opinion formation by adjusting the triad formation parameter. Simulation result shows that by adjusting triad scale free network parameters, a large clustering coefficient favors development of a consensus. In particular, when in the system with initial opinion proportion of +1, p+=0.5, a consensus seems to be never reached for triad scale free network with any clustering coefficient.