Computational Conflict Research
Editors: Deutschmann, E., Lorenz, J., Nardin, L.G., Natalini, D., Wilhelm, A.F.X. (Eds.)
- 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
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- About this book
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This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide.
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.
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Computational Conflict Research
- Editors
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- Emanuel Deutschmann
- Jan Lorenz
- Luis G. Nardin
- Davide Natalini
- Adalbert F.X. Wilhelm
- Series Title
- Computational Social Sciences
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- The Editor(s) (if applicable) and The Author(s)
- eBook ISBN
- 978-3-030-29333-8
- DOI
- 10.1007/978-3-030-29333-8
- Hardcover ISBN
- 978-3-030-29332-1
- Series ISSN
- 2509-9574
- Edition Number
- 1
- Number of Pages
- X, 260
- Number of Illustrations
- 23 b/w illustrations, 33 illustrations in colour
- Topics
