We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic
technology for reasoning with personal information extracted from a number of electronic information sources including web
pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network
analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science
based on electronic data using the example of the Semantic Web research community.
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