Keijzer, Marijn, Lorenz, Jan and Bojanowski, Michał (2026) Computational Social Science of Social Cohesion and Polarization. Collection « Computational Social Sciences ». Springer Cham ISBN 978 3 0320 1372 9

Abstract

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.