Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

Lashkar-e-Taiba

  • V.S. Subrahmanian
  • Aaron Mannes
  • Amy Sliva
  • Jana Shakarian
  • John P. Dickerson

Table of contents

  1. Front Matter
    Pages i-xiv
  2. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 1-21
  3. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 23-68
  4. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 69-79
  5. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 81-94
  6. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 95-103
  7. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 105-115
  8. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 117-126
  9. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 127-135
  10. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 137-148
  11. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 149-156
  12. V. S. Subrahmanian, Aaron Mannes, Amy Sliva, Jana Shakarian, John P. Dickerson
    Pages 157-176
  13. Back Matter
    Pages 177-231

About this book

Introduction

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba provides an in-depth look at Web intelligence, and how advanced mathematics and modern computing technology can influence the insights we have on terrorist groups. This book primarily focuses  on one famous terrorist group known as Lashkar-e-Taiba (or LeT), and  how it operates. After 10 years of counter Al Qaeda operations,  LeT is considered by many in the counter-terrorism community to be an even greater threat to the US and world peace than Al Qaeda.

Computational Analysis of  Terrorist Groups: Lashkar-e-Taiba is the first book that demonstrates how to use modern computational analysis techniques including methods for “big data” analysis.  This book presents how to quantify both the environment in which LeT operate, and  the actions it took over a 20-year period, and represent it as a relational database table. This table is then mined using sophisticated data mining algorithms in order to gain detailed, mathematical, computational and statistical insights into LeT and its operations. This book also provides a detailed  history of  Lashkar-e-Taiba based on extensive analysis conducted by  using open source information and public statements. Each chapter includes a case study, as well as  a slide describing the key results which are available on the authors’ web sites.

Computational Analysis of  Terrorist Groups: Lashkar-e-Taiba is designed for a professional market composed of  government or military workers, researchers  and computer scientists working in the web intelligence field. Advanced-level students in computer science will also find this valuable as a reference book.

Keywords

Behavioral Analytics Computational Models Counter-terrorism Forecasting Lashkar-e-Taiba Web Intelligence

Authors and affiliations

  • V.S. Subrahmanian
    • 1
  • Aaron Mannes
    • 2
  • Amy Sliva
    • 3
  • Jana Shakarian
    • 4
  • John P. Dickerson
    • 5
  1. 1.Inst. Advanced Computer Studies, Dept. Computer ScienceUniversity of MarylandCollege ParkUSA
  2. 2., Institute for AdvancedUniversity of MarylandCollege ParkUSA
  3. 3., College of Computer andNortheastern UniversityBostonUSA
  4. 4., Computer Science DepartmentUniversity of MarylandCollege ParkUSA
  5. 5., Department of Computer ScienceCarnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4769-6
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-4768-9
  • Online ISBN 978-1-4614-4769-6
  • About this book