An agent based model for opinion dynamics with random confidence threshold

Shang, Yilun (2014) An agent based model for opinion dynamics with random confidence threshold. Communications in Nonlinear Science and Numerical Simulation, 19 (10). pp. 3766-3777. ISSN 1007-5704

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Although the idea of introducing heterogeneous confidence levels has been around for some time, its implications for the influence of the confidence thresholds on the consensus formation have not yet been sufficiently elaborated. In this paper, we propose a bounded confidence opinion model with random confidence threshold D associated with potential opinion interaction. Initial opinions are uniformly continuously distributed on the interval [0,1]. Using techniques developed in interacting particle systems, we identify the critical confidence threshold to be E(D)=1/2 in the sense of almost surely convergence regardless of the distribution of D, if the underlying communication graph is the real line Z. Numerical simulations are performed to illustrate our results. Noticed are some interesting dependency of the rate of consensus and sharpness of phase transition on the distribution of D. Additionally, numerical experiments show that our obtained results are applicable to Barabási–Albert scale-free networks, implying a universality of the obtained critical confidence threshold. It is hoped that the results could lead to new insights in understanding the mechanisms and dynamics of those group-level collective behaviors arising from micro-level decision-making patterns.

Item Type: Article
Uncontrolled Keywords: Opinion dynamics; Consensus; Bounded confidence; Phase transition; Agent-based simulation
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 19 Nov 2018 13:32
Last Modified: 11 Oct 2019 18:30

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