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The effect of emotional diffusion on the evolution of cooperation in multiplex networks  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:The effect of emotional diffusion on the evolution of cooperation in multiplex networks

作者:Chen, Wei[1];Wang, Jianwei[2];Chen, Yunteng[3]

机构:[1]Shaoxing Univ, Business Sch, Shaoxing 312000, Peoples R China;[2]Northeastern Univ, Sch Business Adm, Shenyang 110819, Peoples R China;[3]Shaoxing Transportat Investment Grp Co Ltd, Shaoxing 312500, Peoples R China

年份:2025

卷号:199

外文期刊名:CHAOS SOLITONS & FRACTALS

收录:SCI-EXPANDED(收录号:WOS:001536449100002)、、EI(收录号:20252918818421)、Scopus(收录号:2-s2.0-105010955341)、WOS

基金:The research is supported by the General Research Project of the Department of Education of Zhejiang Province under Grant Nos. Y202454376 and the General Research Project of Shaoxing University under Grant Nos. 2024SK015.

语种:英文

外文关键词:Emotional diffusion; Evolutionary game; Cooperation; Multiplex network

外文摘要:Understanding how emotions influence the evolution of group cooperation has become a focus in spatial evolutionary game research. Previous studies predominantly hypothesize that emotions impact their immediate neighbors. However, in reality, emotions possess the characteristic of infection: they not only influence close neighbors but also spread widely, affecting distant individuals and shaping their behaviors across networks. To capture this dynamic, we propose an emotion-based evolutionary game model in multiplex networks to examine the influence of emotional diffusion on the evolution of cooperation. Computer simulations demonstrate that the diffusion of emotions significantly impacts group cooperation in nonlinear ways. Additionally, we discover nonlinear effect of factors such as unit emotional value, cumulative length of emotion, emotional diffusion rate, and emotional diffusion threshold on the evolution of group behavior. Finally, we observe significant differences in how various network structures influence the evolution of group behavior between the emotional diffusion layer and the interaction layer.

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