An empirical study of required dimensionality for large-scale latent semantic indexing applications
Proceedings of the 17th ACM conference on Information and knowledge management
Topic-based social network analysis for virtual communities of interests in the dark web
ACM SIGKDD Explorations Newsletter
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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).