Computational Social Science of Social Cohesion and Polarization

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Éditeur :

Springer

Paru le : 2026-02-07

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 So...
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Éditeur

Collection
n.c

Parution
2026-02-07

Pages
281 pages

EAN papier
9783032013729

Marijn Keijzer is a research fellow at the Institute for Advanced Study in Toulouse and the Toulouse School of Economics. His research focuses on opinion dynamics and polarization, using a diverse set of methodologies from computational social science such as agent-based modeling, analysis of digital trace data and online (macro-)experiments. Marijn holds a PhD in Sociology (2022, ICS / University of Groningen). Jan Lorenz is an assistant professor of social data science at Constructor University Bremen and faculty member at the Bremen International Graduate School of Social Sciences. He holds a Ph.D. in mathematics (2007, University Bremen) and a habilitation in computational social science at Constructr University. His research topics are models of opinion dynamics, social segregation, and other complex socio-economic systems. He did empirical research on the wisdom of crowds, measuring social cohesion, and polarization. Michal Bojanowski is an assistant professor at the Chair of Quantitative Methods and Information Technology at Kozminski University and a post-doctoral researcher at the COALESCE Lab at the Autonomous University of Barcelona. He holds a PhD in sociology (2012, ICS / Utrecht University) and his research focuses on modeling social network data, especially collected with non-sociocentric designs as well as on assembling complex social network datasets from non-obvious sources (such as historical archives) often using technically-advanced procedures. Michal is an R developer with over 20 years of experience in writing packages and providing training in academic and business contexts. He is a member of Statnet Development Team -- the creators of a suite of R packages for statistical network analysis.

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9783032013736
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Nombre pages imprimables
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63580 Ko
EAN EPUB
9783032013736
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Nombre pages imprimables
28
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34785 Ko

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