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Qualitative Analysis & Computational Techniques for the Counter-Terror Analyst

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Handbook of Computational Approaches to Counterterrorism

Abstract

The combination of traditional qualitative analysis techniques with new developments in computer science has created important new options for counter-terror analysts. Written from this perspective of a counter-terror analyst, this chapter provides an overview of a number of useful modes of analysis for understanding terrorist organization behavior and developing strategies and policies that can counter terrorist group activities. The chapter discusses the strategic perspective on terrorist group decision-making, the application of organizational theory to terrorist organizations, as well as studies about who joins, and who leaves, terrorist organizations. In each of these areas of study, computational analysis can play an important role augmenting the human analyst’s ability to use data and generate effective counter-terror policies.

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Authors and Affiliations

  1. Laboratory for Computational Cultural Dynamics, University of Maryland, College Park, MD, 20742, USA

    Aaron Mannes

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  1. Aaron Mannes
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Correspondence to Aaron Mannes .

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Editors and Affiliations

  1. , Computer Science Department, University of Maryland, AV Williams Building, College Park, 20854, Maryland, USA

    V.S. Subrahmanian

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Mannes, A. (2013). Qualitative Analysis & Computational Techniques for the Counter-Terror Analyst. In: Subrahmanian, V. (eds) Handbook of Computational Approaches to Counterterrorism. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5311-6_5

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  • DOI: https://doi.org/10.1007/978-1-4614-5311-6_5

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5310-9

  • Online ISBN: 978-1-4614-5311-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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