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How social rewiring preferences bridge polarized communities

Author

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  • Borges, Henrique M.
  • Vasconcelos, Vítor V.
  • Pinheiro, Flávio L.

Abstract

Recently, social debates have been marked by increased polarization of social groups. Such polarization not only implies that groups cannot reach a consensus on fundamental questions but also materializes in more modular social spaces/networks that further amplify the risks of polarization in less polarizing topics. How can network adaptation bridge different communities when individuals reveal homophilic or heterophilic social rewiring preferences? Here, we consider information diffusion processes that capture a continuum from simple to complex contagion processes. We use a computational model to understand how fast and to what extent individual rewiring preferences bridge initially weakly connected communities and how likely it is for them to reach a consensus. We show that homophilic and heterophilic rewiring have different impacts depending on the type of opinion spread. First, in the case of complex opinion diffusion, we show that even polarized social networks can reach a population-wide consensus without reshaping their underlying network. When polarized social structures amplify opinion polarization, heterophilic rewiring preferences play a key role in creating bridges between communities and facilitating a population-wide consensus. Secondly, in the case of simple opinion diffusion, homophilic rewiring preferences are more capable of fostering consensus and avoiding a co-existence (dynamical polarization) of opinions. Hence, across a broad profile of simple and complex opinion diffusion processes, only a mix of heterophilic and homophilic rewiring preferences avoids polarization and promotes consensus.

Suggested Citation

  • Borges, Henrique M. & Vasconcelos, Vítor V. & Pinheiro, Flávio L., 2024. "How social rewiring preferences bridge polarized communities," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924001450
    DOI: 10.1016/j.chaos.2024.114594
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    References listed on IDEAS

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    1. Daniel A Sprague & Thomas House, 2017. "Evidence for complex contagion models of social contagion from observational data," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-12, July.
    2. Nikolaj Horsevad & David Mateo & Robert E. Kooij & Alain Barrat & Roland Bouffanais, 2022. "Author Correction: Transition from simple to complex contagion in collective decision-making," Nature Communications, Nature, vol. 13(1), pages 1-1, December.
    3. Bjarke Mønsted & Piotr Sapieżyński & Emilio Ferrara & Sune Lehmann, 2017. "Evidence of complex contagion of information in social media: An experiment using Twitter bots," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-12, September.
    4. Alina Sîrbu & Dino Pedreschi & Fosca Giannotti & János Kertész, 2019. "Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-20, March.
    5. Fernando P. Santos & Yphtach Lelkes & Simon A. Levin, 2021. "Link recommendation algorithms and dynamics of polarization in online social networks," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(50), pages 2102141118-, December.
    6. Kazutoshi Sasahara & Wen Chen & Hao Peng & Giovanni Luca Ciampaglia & Alessandro Flammini & Filippo Menczer, 2021. "Social influence and unfollowing accelerate the emergence of echo chambers," Journal of Computational Social Science, Springer, vol. 4(1), pages 381-402, May.
    7. Theodor Cimpeanu & Francisco C. Santos & The Anh Han, 2023. "Does Spending More Always Ensure Higher Cooperation? An Analysis of Institutional Incentives on Heterogeneous Networks," Dynamic Games and Applications, Springer, vol. 13(4), pages 1236-1255, December.
    8. Nikolaj Horsevad & David Mateo & Robert E. Kooij & Alain Barrat & Roland Bouffanais, 2022. "Transition from simple to complex contagion in collective decision-making," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    9. Dennis Jacob & Sven Banisch, 2023. "Polarization in Social Media: A Virtual Worlds-Based Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(3), pages 1-11.
    10. Cimpeanu, Theodor & Di Stefano, Alessandro & Perret, Cedric & Han, The Anh, 2023. "Social diversity reduces the complexity and cost of fostering fairness," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    11. Andreia Sofia Teixeira & Francisco C. Santos & Alexandre P. Francisco & Fernando P. Santos & Hiroki Sayama, 2021. "Eliciting Fairness in N-Player Network Games through Degree-Based Role Assignment," Complexity, Hindawi, vol. 2021, pages 1-11, September.
    12. Jörg Gross & Carsten K. W. Dreu, 2019. "The rise and fall of cooperation through reputation and group polarization," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
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