Analysing social networks within bibliographical data

Authors:
Stefan Klink;Patrick Reuther;Alexander Weber;Bernd Walter;Michael Ley
Affiliations:
Institute of Applied Informatics and Formal Description Methods, Universität Karlsruhe (TH), Germany;Department for Databases and Information Systems, University of Trier, Germany;Department for Databases and Information Systems, University of Trier, Germany;Department for Databases and Information Systems, University of Trier, Germany;Department for Databases and Information Systems, University of Trier, Germany
Venue:
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Year:
2006

Citing 8
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Abstract

Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The io-port.net portal and the DBLP Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities. In this paper, we describe a user–friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data. After introducing the concept of multi-mode social networks, the DBL–Browser itself and various methods for multi-layered browsing through social networks are described.