Application of a cliques search method in the Hungarian Database of Scholarly Literature

Authors

  • Dávid Molnár University of Miskolc
  • Erika Baksáné Varga University of Miskolc
  • László Kovács University of Miskolc

DOI:

https://doi.org/10.35925/j.multi.2020.2.33

Keywords:

scientometrics, author-level bibliometric indexes, graph search algorithms, clique problem

Abstract

The aim of the presented research is to retrieve the publication-level citation graph from the Hungarian Database of Scholarly Literature and to convert it into an author-level citation graph. Since the build-up and storage of this graph would be a technically demanding, time-consuming and resource-intensive task, our examination is restricted to the authors in connection with the Hatvany József Doctoral School of Information Sciences of the University of Miskolc. The creation of the author-level citation graph allows for the definition of new bibliometric indexes, such as the citation strengh among the authors and the citation heterogenity of authors. The paper also presents the results of the implemented graph search algorithms by the use of which we have found tours and cliques in the citation graph.

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Published

2020-09-26