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The effect of network structure on bounded confidence opinion dynamics
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作者 DU Miao CAI Jianfeng 《Journal of Systems Engineering and Electronics》 2026年第2期521-533,共13页
Resolving conflict and achieving consensus among social groups with diverse opinions becomes a critical issue in today’s extensively connected society.Despite the ubiquitous heterogeneity of connection or contact pat... Resolving conflict and achieving consensus among social groups with diverse opinions becomes a critical issue in today’s extensively connected society.Despite the ubiquitous heterogeneity of connection or contact patterns,the study of how topological characteristics of network structure affect opinion convergence is still insufficient.Based on Deffuant and colleagues’bounded confidence model and the transformable network structure between random network and typical complex network types,including small-world network and scale-free network,we analyze the critical factors affecting continuous opinion convergence.We find that the network density plays a crucial role in the aggregated process of opinions in the social group,followed by the modularized level and the average shortest path length of the social network.However,the structural features have little impact on the consensus phase transition threshold.The further simulation experiments under real networks can be well understood based on the interplay of these three main factors.These findings confirm the paramount importance of creating a high-frequency and widely communicated atmosphere to mitigate conflict and efficiently reach consensus. 展开更多
关键词 consensus and divergence opinion dynamics bounded confidence model complex network
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