Computational Conflict Research (1st ed. 2020) (Computational Social Sciences)

Synopsis

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.

Copyright:

2020

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783030293338

Related ISBNs:

9783030293321

Publisher:

Springer International Publishing

Date of Addition:

12/16/19

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Social Studies, Politics and Government

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Emanuel Deutschmann

Edited by:

Jan Lorenz

Edited by:

Luis G. Nardin

Edited by:

Davide Natalini

Edited by:

Adalbert F. Wilhelm