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KDD
2007
ACM

Mining Research Communities in Bibliographical Data

10 years 11 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden information is implicit within relationships among entities in the data. Social networks are such data collections in which relationships play a vital role in the knowledge these networks can convey. A bibliographic database is an essential tool for the research community, yet finding and making use of relationships comprised within such a social network is difficult. In this paper we introduce DBconnect, a prototype that exploits the social network coded within the DBLP database by drawing on a new random walk approach to reveal interesting knowledge about the research community and even recommend collaborations.
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2007
Where KDD
Authors Osmar R. Zaïane, Jiyang Chen, Randy Goebel
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