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From social network (centralized vs. decentralized) to collective decision-making (unshared vs. shared consensus)

PLoS ONE, ISSN: 1932-6203, Vol: 7, Issue: 2, Page: e32566
2012
  • 71
    Citations
  • 0
    Usage
  • 236
    Captures
  • 0
    Mentions
  • 8
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    71
  • Captures
    236
  • Social Media
    8
    • Shares, Likes & Comments
      8
      • Facebook
        8

Article Description

Relationships we have with our friends, family, or colleagues influence our personal decisions, as well as decisions we make together with others. As in human beings, despotism and egalitarian societies seem to also exist in animals. While studies have shown that social networks constrain many phenomena from amoebae to primates, we still do not know how consensus emerges from the properties of social networks in many biological systems. We created artificial social networks that represent the continuum from centralized to decentralized organization and used an agent-based model to make predictions about the patterns of consensus and collective movements we observed according to the social network. These theoretical results showed that different social networks and especially contrasted ones - star network vs. equal network - led to totally different patterns. Our model showed that, by moving from a centralized network to a decentralized one, the central individual seemed to lose its leadership in the collective movement's decisions. We, therefore, showed a link between the type of social network and the resulting consensus. By comparing our theoretical data with data on five groups of primates, we confirmed that this relationship between social network and consensus also appears to exist in animal societies. © 2012 Sueur et al.

Bibliographic Details

http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84857667136&origin=inward; http://dx.doi.org/10.1371/journal.pone.0032566; http://www.ncbi.nlm.nih.gov/pubmed/22393416; https://dx.plos.org/10.1371/journal.pone.0032566; https://dx.plos.org/10.1371/journal.pone.0032566.g001; http://dx.doi.org/10.1371/journal.pone.0032566.g001; https://dx.plos.org/10.1371/journal.pone.0032566.g003; http://dx.doi.org/10.1371/journal.pone.0032566.g003; https://dx.plos.org/10.1371/journal.pone.0032566.g002; http://dx.doi.org/10.1371/journal.pone.0032566.g002; https://dx.plos.org/10.1371/journal.pone.0032566.t001; http://dx.doi.org/10.1371/journal.pone.0032566.t001; https://dx.doi.org/10.1371/journal.pone.0032566; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0032566; https://dx.doi.org/10.1371/journal.pone.0032566.g002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0032566.g002; https://dx.doi.org/10.1371/journal.pone.0032566.g003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0032566.g003; https://dx.doi.org/10.1371/journal.pone.0032566.g001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0032566.g001; https://dx.doi.org/10.1371/journal.pone.0032566.t001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0032566.t001; http://dx.plos.org/10.1371/journal.pone.0032566.t001; http://dx.plos.org/10.1371/journal.pone.0032566.g002; http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0032566; https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0032566&type=printable; http://dx.plos.org/10.1371/journal.pone.0032566.g001; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0032566; http://dx.plos.org/10.1371/journal.pone.0032566.g003; http://dx.plos.org/10.1371/journal.pone.0032566; http://www.plosone.org/article/metrics/info:doi/10.1371/journal.pone.0032566; http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0032566&type=printable

Cédric Sueur; Jean-Louis Deneubourg; Odile Petit; Timothy Ravasi

Public Library of Science (PLoS)

Multidisciplinary

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