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Analysis of Computer Science Communities Based on DBLP

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Research and Advanced Technology for Digital Libraries (ECDL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6273))

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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.

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Author information

Authors and Affiliations

  1. Faculty of Science, Technology and Communications, MINE group, University of Luxembourg, Luxembourg

    Maria Biryukov & Cailing Dong

  2. School of Computer Science and Technology, Shandong University, Jinan, 250101, China

    Cailing Dong

Authors
  1. Maria Biryukov
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  2. Cailing Dong
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK

    Mounia Lalmas  & Joemon Jose  & 

  2. Vienna University of Technology, 1040, Vienna, Austria

    Andreas Rauber

  3. Istituto di Scienza e Tecnologia dell’Informazione, Consiglio Nazionale delle Ricerche, Via G Moruzzi 1, 56124, Pisa, Italy

    Fabrizio Sebastiani

  4. University of Glasgow, G12 8QQ, Glasgow, Uk

    Ingo Frommholz

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Biryukov, M., Dong, C. (2010). Analysis of Computer Science Communities Based on DBLP. In: Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2010. Lecture Notes in Computer Science, vol 6273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15464-5_24

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  • DOI: https://doi.org/10.1007/978-3-642-15464-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15463-8

  • Online ISBN: 978-3-642-15464-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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