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Consensus Formation In Weighted Scale-Free Networks

Author

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  • KE HU

    (Department of Physics, Xiangtan University, 411105 Xiangtan, China)

  • YI TANG

    (Department of Physics, Xiangtan University, 411105 Xiangtan, China)

Abstract

We develop a consensus model for studying opinion dynamics in weighted networks and investigate the effects of both the distribution of weights and the correlations between weight and degree on dynamical behaviors of opinion formation. Our results suggest that a global consensus in the weighted networks to reach is more difficult than that in unweighted network, and strongly depends on the heterogeneity of connection strengths. In addition, in the weighted network with very large heterogeneity of connection strengths, only single macroscopic opinion cluster can be formed, which differs from the behavior in the unweighted network where the next-largest macroscopic opinion cluster may exist.

Suggested Citation

  • Ke Hu & Yi Tang, 2009. "Consensus Formation In Weighted Scale-Free Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(05), pages 677-686.
    • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:05:n:s012918310901390x
    DOI: 10.1142/S012918310901390X
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    Cited by:

    1. Yi-Ling, Wang & Gui-Qing, Zhang, 2013. "Optimal convergence in fame game with familiarity," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 222-226.

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