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Computational Social Science of Social Cohesion and Polarization

Author

Listed:
  • 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)

  • Jan Lorenz
  • Michał Bojanowski

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.

Suggested Citation

  • Marijn Keijzer & Jan Lorenz & Michał Bojanowski, 2026. "Computational Social Science of Social Cohesion and Polarization," Post-Print hal-05540384, HAL.
    • Handle: RePEc:hal:journl:hal-05540384
    DOI: 10.1007/978-3-032-01373-6
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