2009/06/01 by Tarik Hadzibeganovic, Dietrich Stauffer, Christian Schulze · 1 citation
Physics and Astronomy · Social Sciences · Mathematics · Psychology · #Opinion Dynamics and Social Influence #Complex Network Analysis Techniques #Language and cultural evolution #Computer science #Statistical physics #Homogeneous #Dynamics (music) #Focus (optics) #Nonlinear system #Attraction #Process (computing) #Noise (video) #Monte Carlo method #Distribution (mathematics) #Social dynamics #Collective behavior #Theoretical computer science #Mathematical economics #Artificial intelligence #Mathematical optimization #Mathematics #Psychology #Sociology #Physics #Linguistics #Statistics
paper · doi:10.1111/j.1749-6632.2009.04507.x
openalex publication_date 2009/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We use agent-based Monte Carlo simulations to address the problem of language choice dynamics in a tripartite community that is linguistically homogeneous but politically divided. We observe the process of nonlocal pattern formation that causes populations to self-organize into stable antagonistic groups as a result of the local dynamics of attraction and influence between individual computational agents. Our findings uncover some of the unique properties of opinion formation in social groups when the process is affected by asymmetric noise distribution, unstable intergroup boundaries, and different migratory behaviors. Although we focus on one particular study, the proposed stochastic dynamic models can be easily generalized and applied to investigate the evolution of other complex and nonlinear features of human collective behavior.