A local PageRank algorithm for evaluating the importance of scientific articles

András London, Tamás Németh, András Pluhár, Tibor Csendes

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We define a modified Page Rank algorithm and the PR-score to measure the influence of a single article by using its local co-citation network. We also calculate the reaching probability and RP-score of a paper starting at an arbitrary article of its co-citation network for the same purpose. We highlight the advantages of our methods by applying them on the celebrated paper of Jeno Egerváry that is underrated by the standard indices.

Original languageEnglish
Pages (from-to)131-140
Number of pages10
JournalAnnales Mathematicae et Informaticae
Volume44
Publication statusPublished - Jan 1 2015

Keywords

  • Co-citation networks
  • PageRank
  • Ranking algorithms
  • Scientometric

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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