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Self-organized interdependence among populations promotes cooperation by means of coevolution

  • Chen Chu
  • , Xintao Hu
  • , Chen Shen
  • , Tong Li
  • , Stefano Boccaletti
  • , Lei Shi
  • , Zhen Wang
  • Yunnan University of Finance and Economics
  • Northwestern Polytechnical University Xian
  • Yunnan University
  • Key Laboratory in Software Engineering of Yunnan Province
  • National Research Council of Italy

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

We show that self-organized interdependence promotes the evolution of cooperation in interdependent networks. The evolution of connections between networks occurs according to the following rule: if a player often wins against its opponent (regardless of its strategy), it is allowed to form an external link with the corresponding partner in another network to obtain additional benefit; otherwise, the opportunity to increase its benefit is lost. Through numerical simulation, it is unveiled that cooperation can be significantly promoted due to interdependent network reciprocity. Interestingly, the synchronization of evolutionary processes emerges on both networks, and individuals can take advantage of interdependent network reciprocity when both the strategies and the coevolving times in the two networks are synchronous.

Original languageEnglish
Article number013139
JournalChaos
Volume29
Issue number1
DOIs
StatePublished - 1 Jan 2019

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