Automatic extraction of social networks by topics of interest

Authors:
Fernando De la Rosa T.;Rafael M. Gasca
Affiliations:
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
Venue:
International Journal of Computer Applications in Technology
Year:
2008

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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.