Opinion Dynamics on Networks under Correlated Disordered External Perturbations

TL;DR

This paper analyzes how correlated disordered external influences affect opinion dynamics in networks, revealing critical phase transitions, variability increases, and amplification effects, with analytical and simulation validation across network types.

Contribution

It provides an exact solution for opinion dynamics under correlated disorder, highlighting how external fluctuations influence critical behavior and opinion support in complex networks.

Findings

Disorder shifts the critical phase transition point.

External fluctuations increase vote-share variability.

Disorder can amplify support for biased opinions.

Abstract

We study an influence network of voters subjected to correlated disordered external perturbations, and solve the dynamical equations exactly for fully connected networks. The model has a critical phase transition between disordered unimodal and ordered bimodal distribution states, characterized by an increase in the vote-share variability of the equilibrium distributions. The random heterogeneities in the external perturbations are shown to affect the critical behavior of the network relative to networks without disorder. The size of the shift in the critical behavior essentially depends on the total fluctuation of the external influence disorder. Furthermore, the external perturbation disorder also has the surprising effect of amplifying the expected support of an already biased opinion. We show analytically that the vote-share variability is directly related to the external influence fluctuations. We extend our analysis by considering a fat-tailed multivariate lognormal disorder, and present numerical simulations that confirm our analytical results. Simulations for other network topologies demonstrate the generalizability of our findings. Understanding the dynamic response of complex systems to disordered external perturbations could account for a wide variety of networked systems, from social networks and financial markets to amorphous magnetic spins and population genetics.