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Application of Latent Semantic Indexing in Generating Graphs of Terrorist Networks

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Image Intelligence and Security Informatics (ISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3975))

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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).

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Authors and Affiliations

  1. SAIC, Reston, VA

    R. B. Bradford

Authors
  1. R. B. Bradford
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Editor information

Editors and Affiliations

  1. School of Information and Computer Science, University of California, Irvine

    Sharad Mehrotra

  2. MIS Department, University of Arizona, 85721, Tucson, AZ, USA

    Daniel D. Zeng

  3. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  4. University of Texas at Dallas,  

    Bhavani Thuraisingham

  5. Chinese Academy of Sciences, 100190, Beijing, China

    Fei-Yue Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Bradford, R.B. (2006). Application of Latent Semantic Indexing in Generating Graphs of Terrorist Networks. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_84

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