Heterogeneous Hegselmann-Krause Dynamics with Environment and Communication Noise
Ge Chen, Wei Su, Songyuan Ding, Yiguang Hong

TL;DR
This paper analyzes heterogeneous Hegselmann-Krause opinion dynamics models with environment and communication noise, revealing phase transitions, critical noise levels, and the impact of heterogeneity on synchronization.
Contribution
First analysis of heterogeneous HK models with noise, identifying phase transitions, critical noise thresholds, and effects of heterogeneity on opinion synchronization.
Findings
Phase transition for maximum opinion difference under environment noise
Critical noise amplitude depends on minimal confidence threshold
Heterogeneity impairs synchronization, making consensus harder to achieve
Abstract
The Hegselmann-Krause (HK) model is a wellknown opinion dynamics, attracting a significant amount of interest from a number of fields. However, the heterogeneous HK model is difficult to analyze - even the most basic property of convergence is still open to prove. For the first time, this paper takes into consideration heterogeneous HK models with environment or communication noise. Under environment noise, it has been revealed that the heterogeneous HK model with or without global information has a phase transition for the upper limit of the maximum opinion difference, and has a critical noise amplitude depending on the minimal confidence threshold for quasi-synchronization. In addition, the convergence time to the quasi-synchronization is bounded by a negative exponential distribution. The heterogeneous HK model with global information and communication noise is also analyzed.…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Quantum many-body systems
