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The Importance Of Disagreeing: Contrarians And Extremism In The Coda Model

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  • ANDRÉ C. R. MARTINS

    (GRIFE–EACH, Universidade de São Paulo, Rua Arlindo Béttio, 1000, São Paulo, SP 03828-000, Brazil)

  • CLEBER D. KUBA

    (EACH, Universidade de São Paulo, Rua Arlindo Béttio, 1000, São Paulo, SP 03828-000, Brazil)

Abstract

In this paper, we study the effects of introducing contrarians in a model of Opinion Dynamics where the agents have internal continuous opinions, but exchange information only about a binary choice that is a function of their continuous opinion, the CODA model. We observe that the hung election scenario that arises when contrarians are introduced in discrete opinion models still happens. However, it is weaker and it should not be expected in every election. Finally, we also show that the introduction of contrarians make the tendency towards extremism of the original model weaker, indicating that the existence of agents that prefer to disagree might be an important aspect and help society to diminish extremist opinions.

Suggested Citation

  • André C. R. Martins & Cleber D. Kuba, 2010. "The Importance Of Disagreeing: Contrarians And Extremism In The Coda Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(05), pages 621-634.
    • Handle: RePEc:wsi:acsxxx:v:13:y:2010:i:05:n:s0219525910002773
    DOI: 10.1142/S0219525910002773
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    Citations

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    Cited by:

    1. C.R. Martins, André, 2014. "Discrete opinion models as a limit case of the CODA model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 352-357.
    2. Catherine A. Glass & David H. Glass, 2021. "Social Influence of Competing Groups and Leaders in Opinion Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 799-823, October.
    3. Khalil, Nagi & Toral, Raúl, 2019. "The noisy voter model under the influence of contrarians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 81-92.
    4. Diao, Su-Meng & Liu, Yun & Zeng, Qing-An & Luo, Gui-Xun & Xiong, Fei, 2014. "A novel opinion dynamics model based on expanded observation ranges and individuals’ social influences in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 220-228.

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