Examining a Terrorist Network Using Contingency Table Analysis

Abstract

The information revolution of the 21st century has changed the nature of war to focus on the area of network-centric warfare. While the number and strength of dark networks continue to increase, the U.S. Department of Defense seeks to identify, predict, and counteract possible terrorist threats. The intelligence community is undertaking the seemingly impossible task of using the information that is currently available through social networks and military reports. This report will examine the Ali Baba data set that was created in 2003 for the National Security Agency (NSA) by Mark Jaworoski and Steve Pavlak. The Ali Baba data set contains fictitious Word documents that have recorded the actions of a suspected terrorist network. This report will demonstrate the use of statistics in examining terrorist organizations. Specifically, it will determine if contingency table analysis using the R programming language can be used to analyze a terrorist network.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2011
Accession Number
ADA558424

Entities

People

  • Allison Moore

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programming
  • Data Science
  • Data Sets
  • Department Of Defense
  • Governments
  • Human Intelligence
  • Information Operations
  • Information Science
  • Intelligence Community
  • Language
  • National Security
  • Network Centric Warfare
  • Programming Languages
  • Social Networks
  • Statistical Analysis
  • Statistics
  • Terrorists

Readers

  • Cybersecurity.
  • Emergency Management and Homeland Security.
  • Military History of the United States in the 20th Century.