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Cited by 188

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Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation

Open access
Masuda, Naoki·2007·Proceedings of the Royal Society B: Biological Sciences

Abstract

Real social interactions occur on networks in which each individual is connected to some, but not all, of others. In social dilemma games with a fixed population size, heterogeneity in the number of contacts per player is known to promote evolution of cooperation. Under a common assumption of positively biased pay-off structure, well-connected players earn much by playing frequently, and cooperation once adopted by well-connected players is unbeatable and spreads to others. However, maintaining a social contact can be costly, which would prevent local pay-offs from being positively biased. In replicator-type evolutionary dynamics, it is shown that even a relatively small participation cost extinguishes the merit of heterogeneous networks in terms of cooperation. In this situation, more connected players earn less so that they are no longer spreaders of cooperation. Instead, those with fewer contacts win and guide the evolution. The participation cost, or the baseline pay-off, is irrelevant in homogeneous populations, but is essential for evolutionary games on heterogeneous networks.

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Metadata

Authors
Masuda, N.
Venue
Proceedings of the Royal Society B: Biological Sciences
Published
2007-05-15
Volume
274
Issue
1620
Pages
1815-1821
ISSN
  • 0080-4649 (ISSN-L)
  • 0962-8452
  • 1471-2954
OpenAlex
W2101739443
Cited by
188
References
5
FWCI
42.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation. https://app.cochat.ai/papers/10.1098/rspb.2007.0294
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Masuda, N. (2007). Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2007.0294

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.