Skip to main content
Book cover

Handbook of Computational Approaches to Counterterrorism

  • Book
  • © 2013

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 149.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 chapters)

  1. Data and Data Acquisition

  2. DATA AND DATA ACQUISITION

  3. Behavioral Models and Forecasting

  4. BEHAVIORAL MODELS AND FORECASTING

  5. Terrorist Network Analysis

  6. TERRORIST NETWORK ANALYSIS

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

  • , Computer Science Department, University of Maryland, College Park, USA

    V.S. Subrahmanian

Bibliographic Information

Publish with us