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Opinion diversity shaped by higher-order interactions on multi-dimensional issues

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  • Qi, Yimeng
  • Xue, Dong
  • Liu, Fangzhou

Abstract

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 a more 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.

Suggested Citation

  • Qi, Yimeng & Xue, Dong & Liu, Fangzhou, 2025. "Opinion diversity shaped by higher-order interactions on multi-dimensional issues," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:chsofr:v:194:y:2025:i:c:s0960077925002012
    DOI: 10.1016/j.chaos.2025.116188
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    References listed on IDEAS

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    3. Eyal Bairey & Eric D. Kelsic & Roy Kishony, 2016. "High-order species interactions shape ecosystem diversity," Nature Communications, Nature, vol. 7(1), pages 1-7, November.
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