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Application of Latent Semantic Indexing in Generating Graphs of Terrorist Networks

  • R. B. Bradford
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

Abstract

Understanding networks of connections among individuals is an important element of counterterrorism analysis. Determining nodes and links for such networks is one of the most labor-intensive aspects of counterterrorism analysis. This paper presents an automated approach for generating and displaying an initial estimate of nodes and links relevant to a chosen topic. This work combines the use of entity extraction and latent semantic indexing (LSI).

Keywords

Test Collection Latent Semantic Indexing Entropy Weighting Text Query Relationship Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • R. B. Bradford
    • 1
  1. 1.SAICReston

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