A Toolset for Determining Social Networks on the Web

D. Helm, R. D’Amore, G. Valley, and M. Konchady (USA)


Social network, Link analysis, Text mining


This paper discusses a set of integrated tools that can uncover existing and emerging social networks on the Web using documents harvested via search agent and crawling techniques. The tools include a “smart” spider, text-mining tools that extract and categorize metadata found in the collected documents, and tools to determine and display semantic relationships between various entities using clustering and link analysis techniques. The principal purpose of the research is to uncover existing and emerging social communities on the Web and to track their changes over time.

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