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Evolutionary Dynamics In Opinion Formation Model With Coupling Of Social Communities

Author

Listed:
  • WEN-JUAN XU

    (School of Law, Zhejiang University of Finance and Economics, 18 Xueyuan Road, Hangzhou 310018, P. R. China)

  • LI-XIN ZHONG

    (School of Finance and Coordinated Innovation, Center of Wealth Management and Quantitative Investment, Zhejiang University of Finance and Economics, 18 Xueyuan Road, Hangzhou 310018, P. R. China;
    School of Economics and Management, Tsinghua University, 43 Chengfu Road, Beijing 100084, P. R. China)

  • PING HUANG

    (School of Accounting, Zhejiang University of Finance and Economics, 18 Xueyuan Road, Hangzhou 310018, P. R. China)

  • TIAN QIU

    (School of Information Engineering, Nanchang Hangkong University, 696 South Fenghe Road, Nanchang 330063, P. R. China)

  • YONG-DONG SHI

    (Research Center of Applied Finance, Dongbei University of Finance and Economics, 217 Jianshan Street, Dalian 116025, P. R. China)

  • CHEN-YANG ZHONG

    (Yuanpei College, Peking University, 5 Yiheyuan Road, Beijing 100871, P. R. China)

Abstract

By incorporating multi-community attachments into the continuous opinion formation model, we investigate the driving force for reaching consensus in networked systems. A phase transition from fragmentation to consensus is determined by the multiplex network structures and the coupling of different communities. A moderate number of layers and weak coupling are beneficial for consensus. The evolutionary dynamics in the present model is governed by the prolonged evolutionary time, which results from the disparities of individual opinions in different communities. Increasing the multiple layers is similar to promoting coupling between different communities. A functional relation between the convergence time and the coupling coefficient is found.

Suggested Citation

  • Wen-Juan Xu & Li-Xin Zhong & Ping Huang & Tian Qiu & Yong-Dong Shi & Chen-Yang Zhong, 2015. "Evolutionary Dynamics In Opinion Formation Model With Coupling Of Social Communities," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(01n02), pages 1-16.
    • Handle: RePEc:wsi:acsxxx:v:18:y:2015:i:01n02:n:s0219525915500034
    DOI: 10.1142/S0219525915500034
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    Citations

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    Cited by:

    1. Yue Yang & Changgui Gu & Qin Xiao & Huijie Yang, 2017. "Evolution of scaling behaviors embedded in sentence series from A Story of the Stone," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-14, February.
    2. Zhong, Li-Xin & Xu, Wen-Juan & He, Yun-Xin & Zhong, Chen-Yang & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Ren, Fei, 2017. "A generalized public goods game with coupling of individual ability and project benefit," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 73-80.
    3. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Zhong, Chen-Yang & Qiu, Tian & Shi, Yong-Dong & Wang, Li-Liang, 2016. "A generalized voter model with time-decaying memory on a multilayer network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 95-105.
    4. Li-Xin Zhong & Wen-Juan Xu & Yun-Xin He & Chen-Yang Zhong & Rong-Da Chen & Tian Qiu & Yong-Dong Shi & Fei Ren, 2017. "A generalized public goods game with coupling of individual ability and project benefit," Papers 1702.07423, arXiv.org, revised May 2017.

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