Data from: The role of social attraction and social avoidance in shaping modular networks

  1. Romano, Valéria 1
  2. Puga-Gonzalez, Ivan 2
  3. MacIntosh, Andrew 3
  4. Sueur, Cédric 4
  1. 1 Institut de Recherche pour le Développement
  2. 2 Norwegian Research Centre
  3. 3 Kyoto University
    info

    Kyoto University

    Kioto, Japón

    ROR https://ror.org/02kpeqv85

  4. 4 University of Strasbourg
    info

    University of Strasbourg

    Estrasburgo, Francia

    ROR https://ror.org/00pg6eq24

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Éditeur: Dryad

Année de publication: 2024

Type: Dataset

CC0 1.0

DOI: 10.5061/DRYAD.7WM37PW0X lock_openAccès ouvert editor

Résumé

In this study, we simulated the emergence of networks depending on simple rules of social attraction (e.g. access to the highest benefits) and social avoidance (e.g. avoiding the highest costs). Individuals vary in the degree to which they signal benefits versus costs, and the formation of relationships depends on the extent to which these benefits and/or costs are perceived. We used matrices containing 2000 interactions per individual to estimate network properties.