Overview
- Open access book presenting a broad range of cutting-edge computational methods applied to research in conflict dynamics
- Contains applications to salient conflicts from several world regions at various scales and degrees of violence
- Provides an insightful introduction to the field through sections on data and methods
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (11 chapters)
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Front Matter
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Data and Methods in Computational Conflict Research
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Front Matter
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Computational Research on Non-violent Conflict
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Front Matter
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Computational Research on Violent Conflict
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Front Matter
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Back Matter
Keywords
- agent-based conflict modeling
- social network analysis
- modeling social conflict
- modeling conflict dynamics
- terrorism network analysis
- conflict studies book
- open access computational social science
- conflict dataset
- computational social sciences and conflict dynamics
- computational conflict research
- open access
- computational social sciences
About this book
Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests.
By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Conflict Research
Editors: Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-030-29333-8
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
Hardcover ISBN: 978-3-030-29332-1Published: 15 November 2019
Softcover ISBN: 978-3-030-29335-2Published: 11 September 2020
eBook ISBN: 978-3-030-29333-8Published: 09 November 2019
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XVIII, 264
Number of Illustrations: 21 b/w illustrations, 33 illustrations in colour
Topics: Computational Social Sciences, Conflict Studies, Terrorism and Political Violence, Data Mining and Knowledge Discovery