TY - JOUR
T1 - Collective behavior decision based on edge dynamics
AU - You, Tao
AU - Liu, Yunchao
AU - Mengibaev, Muslimbek
AU - Zhang, Ying
AU - Chen, Jinchao
AU - Zhang, Peng
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/11/5
Y1 - 2021/11/5
N2 - In real-world social networks, the diversity of social members usually affects the decision-making behaviors in daily human life. Here, to better capture the interaction characteristics of realistic individuals, we explore the evolution of cooperative behaviour in multi-game under interactive heterogeneity based on edge dynamics. Simulation results show that interactive heterogeneity can lead to the formation of larger clusters of cooperators in the network and significantly improve the cooperative behaviour of the group. However, when interactive heterogeneity and network heterogeneity coexist, worse results are obtained.
AB - In real-world social networks, the diversity of social members usually affects the decision-making behaviors in daily human life. Here, to better capture the interaction characteristics of realistic individuals, we explore the evolution of cooperative behaviour in multi-game under interactive heterogeneity based on edge dynamics. Simulation results show that interactive heterogeneity can lead to the formation of larger clusters of cooperators in the network and significantly improve the cooperative behaviour of the group. However, when interactive heterogeneity and network heterogeneity coexist, worse results are obtained.
KW - Edge dynamics
KW - Evolution
KW - Interactive heterogeneity
KW - Multi-game
UR - https://www.scopus.com/pages/publications/85114384345
U2 - 10.1016/j.physleta.2021.127654
DO - 10.1016/j.physleta.2021.127654
M3 - 文章
AN - SCOPUS:85114384345
SN - 0375-9601
VL - 415
JO - Physics Letters, Section A: General, Atomic and Solid State Physics
JF - Physics Letters, Section A: General, Atomic and Solid State Physics
M1 - 127654
ER -