Higher-order temporal interactions promote the cooperation in the multiplayer snowdrift game
Science China Information Sciences(2023)
摘要
To explore evolutionary dynamics of collective behaviors within the interconnected population, previous studies usually map non-pairwise interactions to higher-order static networks. However, from human communications to chemical reactions and biological systems, interactions often change over time, which cannot be simply described by higher-order static networks. In this study, we introduce time effects into higher-order networks and correspondingly investigate the evolutionary dynamics of multiplayer snowdrift games on higher-order temporal networks. Specifically, extensive simulations from four empirical datasets reveal that (1) the temporal effect of higher-order networks can facilitate the evolution of cooperation; (2) the higher-order topology can enhance the emergence of cooperation within a certain range of parameters; (3) the contribution of temporal burstiness and participants burstiness to cooperation is reversed. Furthermore, we theoretically demonstrate that the higher-order structure will suppress the propagation of defection in temporal networks. Our findings offer a new avenue for studying the evolution of altruistic behaviors in realistic complex networks.
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关键词
collective behaviors,non-pairwise interactions,multiplayer snowdrift games,temporal networks,higher-order complex networks
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