2020/03/31 by Hirofumi Takesue · 17 citations
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Engineering · Mathematics · Physics and Astronomy · Social Sciences · #Asymmetry #Bioinformatics #Biology #Complex network #Computer network #Computer science #Construct (python library) #Dilemma #Engineering #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Game theory #Intersection (aeronautics) #Layer (electronics) #Mathematical economics #Mathematics #Multiplex #Nanotechnology #Network formation #Physics #Plant and animal studies #Prisoner's dilemma #Stochastic game #Symmetry (geometry) #Theoretical computer science #physics.soc-ph
paper · pdf · doi:10.1016/j.amc.2020.125543
published in Applied Mathematics and Computation 388, 125543 (Elsevier BV) · 13 pages, 14 figures, 1 table; updated on the basis of reviewers' comments
openalex publication_date 2020/07/22 · arxiv created 2020/07/24 · arxiv updated 2020/07/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Understanding the role of network structure in the evolution of cooperation is a key research goal at the intersection between physics and biology. Recent studies have particularly focused on multiplex networks given that multiple social domains are interrelated and cannot be represented by single-layer networks. However, the role of network multiplexity is not fully understood when combined with another important network characteristic: network dynamics. In the present study, we investigated evolutionary prisoner's dilemma games played on dynamic two-layer multiplex networks in which the payoff combined across the two layers determined strategy evolution. In addition, we introduced network dynamics where agents can sever links with defecting neighbors and construct new links. Our simulation showed that link updating enhances cooperation but the resultant states are far from those of full cooperation. This modest enhancement in cooperation was related to symmetry breaking whereby the cooperation frequency in one layer disproportionately increased while that in the other layer remained the same or even diminished. However, this broken symmetry disappeared with sufficiently fast link updating. Our results show that the introduction of network dynamics enhances cooperation in the prisoner's dilemma as previously reported, but this enhancement is accompanied by significant asymmetry once network multiplexity is considered.