IDEAS home Printed from https://ideas.repec.org/a/wsi/acsxxx/v18y2015i01n02ns0219525915500022.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219525915500022
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219525915500022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
    2. Bitzer, Jürgen & Geishecker, Ingo, 2010. "Who contributes voluntarily to OSS? An investigation among German IT employees," Research Policy, Elsevier, vol. 39(1), pages 165-172, February.
    3. David, Paul A. & Shapiro, Joseph S., 2008. "Community-based production of open-source software: What do we know about the developers who participate?," Information Economics and Policy, Elsevier, vol. 20(4), pages 364-398, December.
    4. Gauguier, Jean-Jacques, 2009. "L’industrialisation de l’Open Source," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/4388 edited by Toledano, Joëlle.
    5. Sebastian von Engelhardt, 2011. "What Economists Know about Open Source Software - Its Basic Principles and Research Results," Jena Economics Research Papers 2011-005, Friedrich-Schiller-University Jena.
    6. Michiel Bijlsma & Paul de Bijl & Viktoria Kocsis, 2009. "Concurrentie, innovatie en intellectuele eigendomsrechten in software markten," CPB Document 181, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Ailian Zhang & Mengmeng Pan, 2020. "“Smart Process” of Medical Innovation: The Synergism Based on Network and Physical Space," IJERPH, MDPI, vol. 17(11), pages 1-17, May.
    8. Sebastian von Engelhardt & Andreas Freytag & Christoph Schulz, 2013. "On the Geographic Allocation of Open Source Software Activities," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 4(2), pages 25-39, April.
    9. Cerquera Dussán, Daniel & Müller, Bettina, 2009. "Open Source, ICT infrastructure and firm performance," ZEW Discussion Papers 09-089, ZEW - Leibniz Centre for European Economic Research.
    10. Dongryul Lee & Byung Kim, 2013. "Motivations for Open Source Project Participation and Decisions of Software Developers," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 31-57, January.
    11. Michael Schwarz & Yuri Takhteyev, 2010. "Half a Century of Public Software Institutions: Open Source as a Solution to Hold‐Up Problem," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 12(4), pages 609-639, August.
    12. Amrit Tiwana & Benn Konsynski & Ashley A. Bush, 2010. "Research Commentary ---Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics," Information Systems Research, INFORMS, vol. 21(4), pages 675-687, December.
    13. Frank Nagle, 2019. "Open Source Software and Firm Productivity," Management Science, INFORMS, vol. 65(3), pages 1191-1215, March.
    14. Susan Athey & Glenn Ellison, 2014. "Dynamics of Open Source Movements," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(2), pages 294-316, June.
    15. Andersen-Gott, Morten & Ghinea, Gheorghita & Bygstad, Bendik, 2012. "Why do commercial companies contribute to open source software?," International Journal of Information Management, Elsevier, vol. 32(2), pages 106-117.
    16. Michael Schwarz & Yuri Takhteyev, 2009. "Half a Century of Public Software Institutions: Open Source as a Solution to Hold-Up Problem," NBER Working Papers 14946, National Bureau of Economic Research, Inc.
    17. Lomi, Alessandro & Conaldi, Guido & Tonellato, Marco & Pallotti, Francesca, 2014. "Participation motifs and the emergence of organization in open productions," Structural Change and Economic Dynamics, Elsevier, vol. 29(C), pages 40-57.
    18. Tesoriere, Antonio & Balletta, Luigi, 2017. "A dynamic model of open source vs proprietary R&D," European Economic Review, Elsevier, vol. 94(C), pages 221-239.
    19. Sharon Belenzon & Mark Schankerman, 2015. "Motivation and sorting of human capital in open innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(6), pages 795-820, June.
    20. Jeongmeen Suh & Murat Yılmaz, 2019. "Economics of Open Source Technology: A Dynamic Approach," Dynamic Games and Applications, Springer, vol. 9(1), pages 254-280, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:acsxxx:v:18:y:2015:i:01n02:n:s0219525915500022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/acs/acs.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.