PageRank for Bibliographic Networks

Dalibor Fiala (1) , François Rousselot (2) , K. Jezek

1 LIIA - Laboratoire d' Informatique et d'Intelligence Artificielle
2 LGeco - Laboratoire de Génie de la Conception

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

Dalibor Fiala, François Rousselot, K. Jezek. PageRank for Bibliographic Networks. Scientometrics, 2008, 76, pp.135-158. ⟨10.1007/s11192-007-1908-4⟩. ⟨hal-00687410⟩