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Research Article

Dynamic social networks promote cooperation in experiments with humans

David G. Rand, Samuel Arbesman, and Nicholas A. Christakis
PNAS first published November 14, 2011; https://doi.org/10.1073/pnas.1108243108
David G. Rand
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Samuel Arbesman
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Nicholas A. Christakis
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  • For correspondence: christak@hcp.med.harvard.edu
  1. Edited by Douglas S. Massey, Princeton University, Princeton, NJ, and approved October 18, 2011 (received for review May 23, 2011)

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Abstract

Human populations are both highly cooperative and highly organized. Human interactions are not random but rather are structured in social networks. Importantly, ties in these networks often are dynamic, changing in response to the behavior of one's social partners. This dynamic structure permits an important form of conditional action that has been explored theoretically but has received little empirical attention: People can respond to the cooperation and defection of those around them by making or breaking network links. Here, we present experimental evidence of the power of using strategic link formation and dissolution, and the network modification it entails, to stabilize cooperation in sizable groups. Our experiments explore large-scale cooperation, where subjects’ cooperative actions are equally beneficial to all those with whom they interact. Consistent with previous research, we find that cooperation decays over time when social networks are shuffled randomly every round or are fixed across all rounds. We also find that, when networks are dynamic but are updated only infrequently, cooperation again fails. However, when subjects can update their network connections frequently, we see a qualitatively different outcome: Cooperation is maintained at a high level through network rewiring. Subjects preferentially break links with defectors and form new links with cooperators, creating an incentive to cooperate and leading to substantial changes in network structure. Our experiments confirm the predictions of a set of evolutionary game theoretic models and demonstrate the important role that dynamic social networks can play in supporting large-scale human cooperation.

  • collective action
  • economic games
  • evolutionary game theory
  • homophily
  • reciprocity

Footnotes

  • ↵1D.G.R. and S.A. contributed equally to this work.

  • ↵2To whom correspondence should be addressed: E-mail: christak{at}hcp.med.harvard.edu.
  • Author contributions: D.G.R., S.A., and N.A.C. designed research; D.G.R. and S.A. performed research; D.G.R., S.A., and N.A.C. analyzed data; and D.G.R., S.A., and N.A.C. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1108243108/-/DCSupplemental.

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Dynamic social networks promote cooperation in experiments with humans
David G. Rand, Samuel Arbesman, Nicholas A. Christakis
Proceedings of the National Academy of Sciences Nov 2011, 201108243; DOI: 10.1073/pnas.1108243108

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Dynamic social networks promote cooperation in experiments with humans
David G. Rand, Samuel Arbesman, Nicholas A. Christakis
Proceedings of the National Academy of Sciences Nov 2011, 201108243; DOI: 10.1073/pnas.1108243108
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