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Cited by 555

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Dynamical Organization of Cooperation in Complex Topologies

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Gómez-Gardeñes, J., Campillo, M., Floría, L. M., Moreno, Y.·2007·Physical Review Letters

Abstract

In this Letter, we study how cooperation is organized in complex topologies by analyzing the evolutionary (replicator) dynamics of the prisoner's dilemma, a two-player game with two available strategies, defection and cooperation, whose payoff matrix favors defection. We show that, asymptotically, the population is partitioned into three subsets: individuals that always cooperate (pure cooperators), always defect (pure defectors), and those that intermittently change their strategy. In fact, the size of the later set is the biggest for a wide range of the "stimulus to defect" parameter. While in homogeneous random graphs pure cooperators are grouped into several clusters, in heterogeneous scale-free (SF) networks they always form a single cluster containing the most connected individuals (hubs). Our results give further insights into why cooperation in SF networks is enhanced.

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Metadata

Authors
Gómez-Gardeñes, J., Campillo, M., Floría, L. M., & Moreno, Y.
Venue
Physical Review Letters
Published
2007-03-07
Volume
98
Issue
10
Pages
108103-108103
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2108800030
Cited by
555
References
18
FWCI
120.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dynamical Organization of Cooperation in Complex Topologies. https://app.cochat.ai/papers/10.1103/physrevlett.98.108103
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Gómez-Gardeñes, J., Campillo, M., Floría, L. M., & Moreno, Y. (2007). Dynamical Organization of Cooperation in Complex Topologies. Physical Review Letters. https://doi.org/10.1103/physrevlett.98.108103

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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.