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Sznajd Model With Synchronous Updating On Complex Networks

Author

Listed:
  • YU-SONG TU

    (College of Physics and Information Engineering, Guangxi Normal University, 541004 Guilin, China)

  • A. O. SOUSA

    (Institute for Computer Physics (ICP), University of Stuttgart, Pfaffenwaldring 27, 70569 Stuttgart, Germany)

  • LING-JIANG KONG

    (College of Physics and Information Engineering, Guangxi Normal University, 541004 Guilin, China)

  • MU-REN LIU

    (College of Physics and Information Engineering, Guangxi Normal University, 541004 Guilin, China)

Abstract

We analyze the evolution of Sznajd Model with synchronous updating in several complex networks. Similar to the model on square lattice, we have found a transition between the state with nonconsensus and the state with complete consensus in several complex networks. Furthermore, by adjusting the network parameters, we find that a large clustering coefficient does not favor development of a consensus. In particular, in the limit of large system size with the initial concentrationp =0.5of opinion +1, a consensus seems to be never reached for the Watts–Strogatz small-world network, when we fix the connectivitykand the rewiring probabilityps; nor for the scale-free network, when we fix the minimum node degreemand the triad formation step probabilitypt.

Suggested Citation

  • Yu-Song Tu & A. O. Sousa & Ling-Jiang Kong & Mu-Ren Liu, 2005. "Sznajd Model With Synchronous Updating On Complex Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(07), pages 1149-1161.
    • Handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:07:n:s0129183105007807
    DOI: 10.1142/S0129183105007807
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    Cited by:

    1. Sznajd-Weron, Katarzyna & Sznajd, Józef & Weron, Tomasz, 2021. "A review on the Sznajd model — 20 years after," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    2. Lu, Xi & Mo, Hongming & Deng, Yong, 2015. "An evidential opinion dynamics model based on heterogeneous social influential power," Chaos, Solitons & Fractals, Elsevier, vol. 73(C), pages 98-107.

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