TY  - BOOK
AU  - Keijzer,Marijn A.
AU  - Lorenz,Jan
AU  - Bojanowski,Michał
ED  - SpringerLink (Online service)
TI  - Computational Social Science of Social Cohesion and Polarization
T2  - Computational Social Sciences,
SN  - 9783032013736
AV  - HM706 
U1  - 305.5 23
PY  - 2026///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Social structure
KW  - Equality
KW  - Social sciences
KW  - Network analysis
KW  - Computational complexity
KW  - Political sociology
KW  - Communication in science
KW  - Social Structure
KW  - Network Research
KW  - Computational Complexity
KW  - Political Sociology
KW  - Science Communication
N1  - Computational Social Science of Social Cohesion and Polarization -- Social Cohesion and its Development in Germany before, during, and after COVID-19: The Bertelsmann Social Cohesion Radar -- Part I. Networks, Simulating an Empirically Informed Population Network of Core Discussion Ties -- The Anatomy of Rabbit Holes: Studying Information Segregation in YouTube’s Recommendation Graph -- ResIN: A New Method to Analyze Socio-Political Attitude Systems -- Part II. Text-based methods, Elites and Polarisation: A Text and Sentiment Analytical Approach on the Dynamics of Polarized Political Discourses During Times of Crises -- Linguistic Polarization in Minority Representation: Analyzing Parliamentary Speeches in Germany and the UK (1980-2021) -- Convergence in Framing: A Semantic Network Analysis of News Coverage of the LGBTQ Movement in the United States (1960s–2010s) -- Part III. Agent-based modelling, Understanding Mutual Social Influence When People Prefer Coherent Beliefs -- An Investigation into the Causal Mechanism of Political Opinion Dynamics: A Model of Hierarchical Coarse-Graining with Community-Bounded Social Influence -- Modeling Social Cohesion: The Influence of Memory and Learning -- Epilogue, From Summer Schools to Research Incubators in Computational Social Science and Beyond; Open Access
N2  - 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. Aimed at researchers, students, and practitioners across disciplines, this volume is both an introduction to the field and a showcase of its most promising applications. It is an introduction into CSS of social cohesion and polarization, and an invitation to rethink how we study—and perhaps even how we can repair—the social fabric
UR  - https://doi.org/10.1007/978-3-032-01373-6
ER  -