Modeling Public Opinion Dynamics: The Spiral of silence in clustered homophilic networks
Juan Castillo, Emanuele Cozzo
TL;DR
The paper addresses how public opinion voice emerges in networks shaped by choice homophily and triadic closure, formalizing Noelle-Neumann’s spiral of silence within a realistic, co-evolving network framework. It couples a network-formation model with mean-field and Q-learning opinion-expression dynamics, and validates insights through Monte Carlo simulations. Key findings show that moderate clustering supports minority expression by strengthening local cohesion, while excessive clustering intensifies asymmetries and majority dominance, with hysteresis arising from saddle bifurcations and learning dynamics. The results have practical implications for online platforms and offer a foundation for empirical validation and extension to richer behavioral strategies.
Abstract
Public discourse emerges from the interplay between individuals' willingness to voice their opinions and the structural features of the social networks in which they are embedded. In this work we investigate how choice homophily and triadic closure shape the emergence of the spiral of silence, the phenomenon whereby minority views are progressively silenced due to fear of isolation. We advance the state of the art in three ways. First, we integrate a realistic network formation model, where homophily and triadic closure co-evolve, with a mean-field model of opinion expression. Second, we perform a bifurcation analysis of the associated Q-learning dynamics, revealing conditions for hysteresis and path dependence in collective expression. Third, we validate our theoretical predictions through Monte Carlo simulations, which highlight the role of finite-size effects and structural noise. Our results show that moderate triadic closure can foster minority expression by reinforcing local cohesion, whereas excessive closure amplifies asymmetries and entrenches majority dominance. These findings provide new insights into how algorithmic reinforcement of clustering in online platforms can either sustain diversity of opinion or accelerate its suppression.
