Analysis of computer science communities based on DBLP

Authors:
Maria Biryukov;Cailing Dong
Affiliations:
Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg;Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg and School of Computer Science and Technology, Shandong University, Jinan, China
Venue:
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Year:
2010

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Abstract

It is popular nowadays to bring techniques from bibliometrics and scientometrics into the world of digital libraries to explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author's scientific career, and analyze some of the computer science communities. We compare them in terms of productivity and population stability, and use these features to compare the sets of top-ranked conferences with their lower ranked counterparts.