Local Edge Dynamics and Opinion Polarization
Nikita Bhalla, Adam Lechowicz, Cameron Musco
Abstract
The proliferation of social media platforms, recommender systems, and their joint societal impacts have prompted significant interest in opinion formation and evolution within social networks. We study how local edge dynamics can drive opinion polarization. In particular, we introduce a variant of the classic Friedkin-Johnsen opinion dynamics, augmented with a simple time-evolving network model. Edges are iteratively added or deleted according to simple rules, modeling decisions based on individual preferences and network recommendations.
Topics & Concepts
Polarization (electrochemistry)Computer scienceEnhanced Data Rates for GSM EvolutionDynamics (music)PhysicsArtificial intelligenceAcousticsChemistryPhysical chemistryOpinion Dynamics and Social InfluenceComplex Network Analysis TechniquesMisinformation and Its Impacts