Computational Social Science of Social Cohesion and Polarization

Résumé

This is an open access book. What holds societies together—and what drives them apart? As worry over political polarization and social cohesion intensifies across the globe, this volume explores timely and vital questions of social cohesion and polarization through the lens of Computational Social Science. It brings together leading and junior scholars who harness the power of computational methods to analyze, model, and understand discourse, social relationships, and beliefs. Drawing on tools such as agent-based modeling, social network analysis, and natural language processing, the book offers a range of innovative approaches to study how belief systems form, attitudes polarize, and communities fragment.

Mots-clés

Référence

Marijn Keijzer, Jan Lorenz et Michał Bojanowski, Computational Social Science of Social Cohesion and Polarization, Springer Cham, février 2026.