Computational Social Science of Social Cohesion and Polarization
Marijn Keijzer,
Jan Lorenz and
Michał Bojanowski
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Marijn Keijzer: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
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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.
Keywords: polarization and segregation; complexity science; communication science; political science; computer science; Open Access; opinion dynamics; social dynamics; network science (search for similar items in EconPapers)
Date: 2026-02-08
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Published in Springer, 2026, 978 3 0320 1372 9. ⟨10.1007/978-3-032-01373-6⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05540384
DOI: 10.1007/978-3-032-01373-6
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