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The Effect Of In-Group Favoritism On The Collective Behavior Of Individuals' Opinions

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  • MEYSAM ALIZADEH

    (Department of Computational Social Science, George Mason University, Fairfax, VA 22030, USA;
    Center for Social Complexity, Krasnow Institute for Advanced Studies, George Mason University, Fairfax, VA 22030, USA)

  • CLAUDIO CIOFFI-REVILLA

    (Department of Computational Social Science, George Mason University, Fairfax, VA 22030, USA;
    Center for Social Complexity, Krasnow Institute for Advanced Studies, George Mason University, Fairfax, VA 22030, USA)

  • ANDREW CROOKS

    (Department of Computational Social Science, George Mason University, Fairfax, VA 22030, USA;
    Center for Social Complexity, Krasnow Institute for Advanced Studies, George Mason University, Fairfax, VA 22030, USA)

Abstract

Empirical findings from social psychology show that sometimes people show favoritism toward in-group members in order to reach a global consensus, even against individuals' own preferences (e.g., altruistically or deontically). Here we integrate ideas and findings on in-group favoritism, opinion dynamics, and radicalization using an agent-based model entitled cooperative bounded confidence (CBC). We investigate the interplay of homophily, rejection, and in-group cooperation drivers on the formation of opinion clusters and the emergence of extremist, radical opinions. Our model is the first to explicitly explore the effect of in-group favoritism on the macro-level, collective behavior of opinions. We compare our model against the two-dimentional bounded confidence model with rejection mechanism, proposed by Huetet al.[Adv. Complex Syst.13(3) (2010) 405–423], and find that the number of opinion clusters and extremists is reduced in our model. Moreover, results show that group influence can never dominate homophilous and rejecting encounters in the process of opinion cluster formation. We conclude by discussing implications of our model for research on collective behavior of opinions emerging from individuals' interaction.

Suggested Citation

  • Meysam Alizadeh & Claudio Cioffi-Revilla & Andrew Crooks, 2015. "The Effect Of In-Group Favoritism On The Collective Behavior Of Individuals' Opinions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(01n02), pages 1-26.
    • Handle: RePEc:wsi:acsxxx:v:18:y:2015:i:01n02:n:s0219525915500022
    DOI: 10.1142/S0219525915500022
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    References listed on IDEAS

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    1. Josh Lerner & Parag A. Pathak & Jean Tirole, 2006. "The Dynamics of Open-Source Contributors," American Economic Review, American Economic Association, vol. 96(2), pages 114-118, May.
    2. Meysam Alizadeh & Claudio Cioffi-Revilla, 2015. "Activation Regimes in Opinion Dynamics: Comparing Asynchronous Updating Schemes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(3), pages 1-8.
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    Cited by:

    1. Mehrdad Agha Mohammad Ali Kermani & Reza Ghesmati & Masoud Jalayer, 2018. "Opinion-Aware Influence Maximization: How To Maximize A Favorite Opinion In A Social Network?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-27, September.
    2. Meysam Alizadeh & Claudio Cioffi-Revilla & Andrew Crooks, 2017. "Generating and analyzing spatial social networks," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 362-390, September.

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