Article
Version 1
Preserved in Portico This version is not peer-reviewed
Opinion Dynamics with Higher-order Bounded Confidence
Version 1
: Received: 23 July 2022 / Approved: 26 July 2022 / Online: 26 July 2022 (03:49:08 CEST)
A peer-reviewed article of this Preprint also exists.
Wang, C. Opinion Dynamics with Higher-Order Bounded Confidence. Entropy 2022, 24, 1300. Wang, C. Opinion Dynamics with Higher-Order Bounded Confidence. Entropy 2022, 24, 1300.
Abstract
The higher-order interactions in complex systems are gaining attention. Extending the classic bounded confidence model where an agent’s opinion update is the average opinion of its peers, this paper proposes a higher-order version of the bounded confidence model. Each agent organizes a group opinion discussion among its peers. Then, the discussion’s result influences all participants’ opinions. Since an agent is also the peer of its peers, the agent actually participates in multiple group discussions. We assume the agent’s opinion update is the average over multiple group discussions. The opinion dynamics rules can be arbitrary in each discussion. In this work, we experiment with two discussion rules: centralized and decentralized. We show that the centralized rule is equivalent to the classic bounded confidence model. The decentralized rule, however, can promote opinion consensus. In need of modeling specific real-life scenarios, the higher-order bounded confidence is convenient to combine with other higher-order dynamics, from the contagion process to evolutionary dynamics.
Keywords
opinion dynamics; bounded confidence; higher-order interaction; HK model
Subject
Physical Sciences, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
