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Scientometrics

, Volume 76, Issue 1, pp 135–158 | Cite as

PageRank for bibliographic networks

  • Dalibor FialaEmail author
  • François Rousselot
  • Karel Ježek
Article

Abstract

In this paper, we present several modifications of the classical PageRank formula adapted for bibliographic networks. Our versions of PageRank take into account not only the citation but also the co-authorship graph. We verify the viability of our algorithms by applying them to the data from the DBLP digital library and by comparing the resulting ranks of the winners of the ACM E. F. Codd Innovations Award. Rankings based on both the citation and co-authorship information turn out to be “better” than the standard PageRank ranking.

Keywords

Digital Library Citation Network Award Winner SIGMOD Record Citation Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Dalibor Fiala
    • 1
    • 2
    Email author
  • François Rousselot
    • 2
  • Karel Ježek
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of West Bohemia in PilsenPlzeňCzech Republic
  2. 2.INSAStrasbourgFrance

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