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Characterizing the roles of preference homophily and network structure on outcomes of consensus games

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  • Pratyush Arya

    (Indian Institute of Technology)

  • Nisheeth Srivastava

    (Indian Institute of Technology)

Abstract

This paper presents results from in silico experiments trying to uncover the mechanisms by which people both succeed and fail to reach consensus in networked games, for network structures produced by a variety of generative mechanisms. We find that the primary cause for failure in such games is preferential selection of information sources. Agents forced to sample information from randomly selected fixed neighborhoods eventually converge to a consensus, while agents free to form their own neighborhoods and forming them on the basis of homophily frequently end up creating balkanized cliques. Small-world structure attenuates the drive towards consensus in fixed networks, but not in self-selecting networks. Preferentially attached networks show the highest convergence to consensus, thereby showing resilience to balkanization even in self-selecting networks. We investigate the reasons for such behavior by altering graph properties of generated networks. We conclude with a brief discussion of the implications of our findings for representing behavior in socio-cultural modeling.

Suggested Citation

  • Pratyush Arya & Nisheeth Srivastava, 2025. "Characterizing the roles of preference homophily and network structure on outcomes of consensus games," Computational and Mathematical Organization Theory, Springer, vol. 31(2), pages 139-160, June.
    • Handle: RePEc:spr:comaot:v:31:y:2025:i:2:d:10.1007_s10588-025-09396-3
    DOI: 10.1007/s10588-025-09396-3
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    1. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    2. Zuiderveen Borgesius, Frederik J. & Trilling, Damian & Möller, Judith & Bodó, Balázs & de Vreese, Claes H. & Helberger, Natali, 2016. "Should we worry about filter bubbles?," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 5(1), pages 1-16.
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