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Evolutionary dynamics of higher-order interactions in social networks

Author

Listed:
  • Unai Alvarez-Rodriguez

    (Basque Centre for Climate Change (BC3)
    School of Mathematical Sciences, Queen Mary University of London)

  • Federico Battiston

    (Department of Network and Data Science, Central European University
    University of Zurich)

  • Guilherme Ferraz Arruda

    (ISI Foundation)

  • Yamir Moreno

    (ISI Foundation
    Institute for Biocomputation and Physics of Complex Systems, University of Zaragoza
    University of Zaragoza)

  • Matjaž Perc

    (Faculty of Natural Sciences and Mathematics, University of Maribor
    China Medical University Hospital, China Medical University
    Complexity Science Hub Vienna)

  • Vito Latora

    (School of Mathematical Sciences, Queen Mary University of London
    Università di Catania and INFN
    The Alan Turing Institute, The British Library)

Abstract

We live and cooperate in networks. However, links in networks only allow for pairwise interactions, thus making the framework suitable for dyadic games, but not for games that are played in larger groups. Here, we study the evolutionary dynamics of a public goods game in social systems with higher-order interactions. First, we show that the game on uniform hypergraphs corresponds to the replicator dynamics in the well-mixed limit, providing a formal theoretical foundation to study cooperation in networked groups. Second, we unveil how the presence of hubs and the coexistence of interactions in groups of different sizes affects the evolution of cooperation. Finally, we apply the proposed framework to extract the actual dependence of the synergy factor on the size of a group from real-world collaboration data in science and technology. Our work provides a way to implement informed actions to boost cooperation in social groups.

Suggested Citation

  • Unai Alvarez-Rodriguez & Federico Battiston & Guilherme Ferraz Arruda & Yamir Moreno & Matjaž Perc & Vito Latora, 2021. "Evolutionary dynamics of higher-order interactions in social networks," Nature Human Behaviour, Nature, vol. 5(5), pages 586-595, May.
    • Handle: RePEc:nat:nathum:v:5:y:2021:i:5:d:10.1038_s41562-020-01024-1
    DOI: 10.1038/s41562-020-01024-1
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