Evolution of prisoner's dilemma strategies on scale-free networks

Ya-Shan Chen, Hai Lin and Chen-Xu Wu

Physica A: Statistical Mechanics and its Applications, 2007, vol. 385, issue 1, 379-384

Abstract: The evolution of strategies in the iterated prisoner's dilemma on scale-free networks is investigated. It is found that the smaller the average degree is, the easier it is to promote cooperation by natural selection. Cooperation on scale-free networks built upon big clustering coefficients is enhanced and maintained at a high level. The introduction of punishment strategy for unsatisfied agents also increases cooperation and improves its persistence on scale-free networks.

Keywords: Scale free network; Prisoner's dilemma; Cooperation (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:385:y:2007:i:1:p:379-384

DOI: 10.1016/j.physa.2007.06.008

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