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The impact of dynamic linking on cooperation on complex networks.
Zhao, Xiaoqian; Hu, Kaipeng; Tao, Yewei; Jin, Libin; Shi, Lei.
Afiliação
  • Zhao X; School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
  • Hu K; School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
  • Tao Y; School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
  • Jin L; Research Institute of Data Science, Shanghai Lixin University of Accounting and Finance, 201209 Shanghai, China.
  • Shi L; School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
Chaos ; 34(7)2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38995990
ABSTRACT
In complex social systems, individual relationships and the surrounding environment are constantly changing, allowing individuals to interact on dynamic networks. This study aims to investigate how individuals in a dynamic network engaged in a prisoner's dilemma game adapt their competitive environment through random edge breaks and reconnections when faced with incomplete information and adverse local conditions, thereby influencing the evolution of cooperative behavior. We find that random edge breaks and reconnections in dynamic networks can disrupt cooperative clusters, significantly hindering the development of cooperation. This negative impact becomes more pronounced over larger time scales. However, we also observe that nodes with higher degrees of connectivity exhibit greater resilience to this cooperation disruption. Our research reveals the profound impact of dynamic network structures on the evolution of cooperation and provides new insights into the mechanisms of cooperation in complex systems.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chaos Assunto da revista: CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chaos Assunto da revista: CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos