Title: Automatic extraction of social networks by topics of interest

Authors: Fernando De la Rosa T., Rafael M. Gasca

Addresses: Department of Computer Languages and Systems, University of Seville, ETSI Informatica, Avda. Reina Mercedes, s/n, Sevilla 41012, Spain. ' Department of Computer Languages and Systems, University of Seville, ETSI Informatica, Avda. Reina Mercedes, s/n, Sevilla 41012, Spain

Abstract: This paper presents an automatic process to extract from internet the scientific community interested in a topic. The process is based on e-mails co-occurrences and it obtains the invisible colleges and subtopics of the community. For this objective, it is built a new framework that uses query results to search engines for integrating different internet bibliography sources. For illustrative purposes, this technique is applied to extract the social network of participants in the Spanish Conference on Software Engineering and Database.

Keywords: emails; co-occurrence; lexical networks; query search engines; social networks; web extraction; web integration; topics of interest; web queries; internet bibliographies.

DOI: 10.1504/IJCAT.2008.022425

International Journal of Computer Applications in Technology, 2008 Vol.33 No.4, pp.292 - 299

Published online: 04 Jan 2009 *

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