English

Opinion dynamics in social networks: From models to data

Physics and Society 2022-12-21 v4 Computers and Society Social and Information Networks Adaptation and Self-Organizing Systems

Abstract

Opinions are an integral part of how we perceive the world and each other. They shape collective action, playing a role in democratic processes, the evolution of norms, and cultural change. For decades, researchers in the social and natural sciences have tried to describe how shifting individual perspectives and social exchange lead to archetypal states of public opinion like consensus and polarization. Here we review some of the many contributions to the field, focusing both on idealized models of opinion dynamics, and attempts at validating them with observational data and controlled sociological experiments. By further closing the gap between models and data, these efforts may help us understand how to face current challenges that require the agreement of large groups of people in complex scenarios, such as economic inequality, climate change, and the ongoing fracture of the sociopolitical landscape.

Keywords

Cite

@article{arxiv.2201.01322,
  title  = {Opinion dynamics in social networks: From models to data},
  author = {Antonio F. Peralta and János Kertész and Gerardo Iñiguez},
  journal= {arXiv preprint arXiv:2201.01322},
  year   = {2022}
}

Comments

22 pages, 3 figures

R2 v1 2026-06-24T08:40:14.116Z