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Updated: Feb 4, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
Published on: October 20, 2022
Opinion dynamics on higher-order networks with stubbornness and trust
Shaojie Zheng1, Dongyan Sui1, Yufei Liu1
1College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200433, China.
None:
This paper proposes a novel opinion dynamics model based on two key psychological factors, namely, stubbornness and trust, that govern how agents update their opinions. By comparing the evolution of multiple configurations on hypergraphs, which capture group-based, higher-order interactions instead of pairwise ones, we find that heterogeneity leads to opinion fragmentation, whereas homogeneity drives the system toward consensus. This finding offers a plausible explanation for the persistence of opinion diversity in social networks. Through an analysis of opinion exchange between two opposing communities, we identify a group reinforcement effect driven by internal consistency, which effectively steers the direction of opinion flow. However, this reinforcement effect breaks down abruptly when a cluster's initial opinion strength falls below a critical point. This phase transition implies that achieving a critical opinion strength is a necessary condition for a weaker community to dominate a stronger one.
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