Overview
- The first handbook that brings together a wide variety of computational techniques (and authors spanning multiple disciplines related to counterterrorism research) in a single, definitive, reference work
- A website with additional material relating to book chapters will be available
- Includes case studies explaining how various techniques proposed in this book are applicable to real-world counter-terrorism and conflict analysis
- Includes supplementary material: sn.pub/extras
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Table of contents (25 chapters)
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BEHAVIORAL MODELS AND FORECASTING
Keywords
About this book
Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour.
Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book’s website.
Thisbook targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Advanced-level students in computer science, mathematics and social sciences will also find this book useful.
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Computational Approaches to Counterterrorism
Editors: V.S. Subrahmanian
DOI: https://doi.org/10.1007/978-1-4614-5311-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5310-9
Softcover ISBN: 978-1-4899-8766-2
eBook ISBN: 978-1-4614-5311-6
Edition Number: 1
Number of Pages: XVIII, 578
Topics: Artificial Intelligence, Probability and Statistics in Computer Science, Data Mining and Knowledge Discovery, Criminology and Criminal Justice, general, Computer Appl. in Social and Behavioral Sciences