Handbook of Computational Approaches to Counterterrorism

Chapter 1 The Global Terrorism Database, 1970–2010

Chapter 2 Automated Coding of Political Event Data

Chapter 3 Automatic Extraction of Events from Open Source Text for Predictive Forecasting

Chapter 4 Automated Coding of Decision Support Variables

Chapter 5 Qualitative Analysis & Computational Techniques for the Counter-Terror Analyst

Chapter 6 SOMA: Stochastic Opponent Modeling Agents for Forecasting Violent Behavior

Chapter 7 Data-based Computational Approaches to Forecasting Political Violence

Chapter 8 Using Hidden Markov Models to Predict Terror Before it Hits (Again)

Chapter 10 Forecasting the Use of Violence by Ethno–Political Organizations: Middle Eastern Minorities and the Choice of Violence

Chapter 11 Forecasting Changes in Terror Group Behavior

Chapter 12 Using Temporal Probabilistic Rules to Learn Group Behavior

Chapter 13 Leaderless Covert Networks: A Quantitative Approach

Chapter 14 Link Prediction in Highly Fractional Data Sets

Chapter 15 Data Analysis Based Construction and Evolution of Terrorist and Criminal Networks

Chapter 16 CrimeFighter Investigator: Criminal Network Sense-Making

Chapter 17 The NOEM: A Tool for Understanding/ Exploring the Complexities of Today’s Operational Environment

Chapter 18 A Multi-Method Approach for Near Real Time Conflict and Crisis Early Warning

Chapter 19 A Realistic Framework for Counter-terrorism in Multimedia

Chapter 20 PROTECT in the Ports of Boston, New York and Beyond: Experiences in Deploying Stackelberg Security Games with Quantal Response

Chapter 21 Government Actions in Terror Environments (GATE): A Methodology that Reveals how Governments Behave toward Terrorists and their Constituencies

Chapter 22 A CAST Case-Study: Assessing Risk in the Niger Delta

Chapter 23 Policy Analytics Generation Using Action Probabilistic Logic Programs

Chapter 24 The Application of Search Games to Counter Terrorism Studies

Chapter 25 Temporal and Spatial Analyses for Large-Scale Cyber Attacks