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Evolution of cooperation and competition in multilayer networks

  • Wenqiang Zhu
  • , Xin Wang
  • , Chaoqian Wang
  • , Weijie Xing
  • , Longzhao Liu
  • , Hongwei Zheng
  • , Jingwu Zhao*
  • , Shaoting Tang*
  • *Corresponding author for this work
  • Beihang University
  • Zhongguancun Laboratory
  • Northwestern Polytechnical University Xian
  • Beijing Academy of Blockchain and Edge Computing
  • Binzhou Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

Cooperation and competition coexist and coevolve in natural and social systems. Cooperation generates resources, which in turn, drive non-cooperative competition to secure individual shares. How this complex interplay between cooperation and competition shapes the evolution of social dilemmas and welfare remains unknown. In this study, we introduce a two-layer evolutionary game model, in which one layer is a cooperative public goods game, and the other is a competitive involution game, with cross-layer feedback linking the two. We find that feedback can either promote or inhibit cooperation, depending on the baseline conditions. For example, moderate resource and synergy factor values can promote social welfare when feedback strength is large. This provides an approach to adjusting the strength and asymmetry of cross-layer feedback to promote cooperation and social welfare. We thus emphasize the importance of managing feedback mechanisms to balance cooperation and competition in complex social systems.

Original languageEnglish
Pages (from-to)31619-31635
Number of pages17
JournalNonlinear Dynamics
Volume113
Issue number22
DOIs
StatePublished - Nov 2025

Keywords

  • Environmental feedback
  • Evolutionary game theory
  • Involution game
  • Multilayer networks
  • Public goods game

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