详细信息
Opinion diversity shaped by higher-order interactions on multi-dimensional issues ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Opinion diversity shaped by higher-order interactions on multi-dimensional issues
作者:Qi, Yimeng[1];Xue, Dong[2];Liu, Fangzhou[1,3]
机构:[1]Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Harbin Inst Technol, Natl Key Lab Modeling & Simulat Complex Syst, Harbin 150001, Peoples R China
年份:2025
卷号:194
外文期刊名:CHAOS SOLITONS & FRACTALS
收录:;EI(收录号:20251017983779);WOS:【SCI-EXPANDED(收录号:WOS:001439234600001)】;
基金:F.L. acknowledges support from National Natural Science Founda-tion of China, under project number 62373123. D.X. acknowledges support from National Natural Science Foundation of China, under project number 62173147.
语种:英文
外文关键词:Higher-order networks; Opinion dynamics; Multi-dimensional issues; Opinion diversity
摘要:Existing opinion dynamics models on consensus phenomena cannot fully account for the diversity of opinions observed in real-world societies. Interpersonal interactions often occur in higher-order combinations, whereby dyadic interactions are modulated by the states of individuals or groups. In this study, a new framework is investigated to model opinion dynamics in higher-order networks with multidimensional issues, addressing the limitations of existing models that primarily focus on pairwise interactions and scalar opinions. By extending the Friedkin-Johnsen (FJ) model to incorporate higher-order interactions, nonlinear dynamics are introduced to more accurately capture the nuanced behavior of real social systems. The theoretical and numerical results demonstrate that higher-order terms promote amore diverse distribution of opinions, reflecting the coexistence of multiple stances. Furthermore, we highlight the critical interplay between individual stubbornness and social influence in shaping consensus and opinion diversity. These findings advance the understanding of how higher-order interactions impact the long-term evolution of opinions in complex social systems.
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