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What and Who

Mining and Characterizing Scientific Communities in DBLP

Cailing Dong
Shandong University
PhD Application Talk
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience

Date, Time and Location

Tuesday, 16 February 2010
90 Minutes
E1 4


As a prominent computer science bibliographical database, DBLP (Digital Bibliography & Library Project) has been widely used in community mining. Among the huge amount of structured data that it provides, there are many communities defined by various relationships. In this work, we focus on conferences in DBLP and analyze communities in computer science in two levels. At the first level we construct communities

around specific conferences based on either common topics or common authors. Our findings show that the authors provide a better ground for characterizing communities than topics alone. At the second level we
decompose the computer science area into 14 research fields based on previous researches and study various properties of the corresponding communities. We characterize each research community in terms of
publication growth rate, collaboration trends and population stability. All these features influence each other to some extent and together show the difference in activity rate andinterdisciplinarity of each subarea.


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Stephanie Jörg, 02/12/2010 12:12 -- Created document.