Exploring and understanding scientific metrics in citation networks

Mikalai Krapivin, Maurizio Marchese, Fabio Casati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper explores scientific metrics in citation networks in scientific communities, how they differ in ranking papers and authors, and why. In particular we focus on network effects in scientific metrics and explore their meaning and impact. We initially take as example three main metrics that we believe significant; the standard citation count, the more and more popular hindex, and a variation we propose of PageRank applied to papers (called PaperRank) that is appealing as it mirrors proven and successful algorithms for ranking web pages and captures relevant information present in the whole citation network. As part of analyzing them, we develop generally applicable techniques and metrics for qualitatively and quantitatively analyzing such network-based indexes that evaluate content and people, as well as for understanding the causes of their different behaviors. We put the techniques at work on a dataset of over 260K ACM papers, and discovered that the difference in ranking results is indeed very significant (even when restricting to citationbased indexes), with half of the top-ranked papers differing in a typical 20-element long search result page for papers on a given topic, and with the top researcher being ranked differently over half of the times in an average job posting with 100 applicants.

Original languageEnglish
Title of host publicationComplex Sciences - First International Conference, Complex 2009, Revised Papers
Pages1550-1563
Number of pages14
Volume5 LNICST
EditionPART 2
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event1st International Conference on Complex Sciences: Theory and Applications, Complex 2009 - Shanghai, China
Duration: 23 Feb 200925 Feb 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
NumberPART 2
Volume5 LNICST
ISSN (Print)1867-8211

Conference

Conference1st International Conference on Complex Sciences: Theory and Applications, Complex 2009
CountryChina
CityShanghai
Period23.2.0925.2.09

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Keywords

  • Divergence metric in ranking results
  • H-index
  • Page Rank Algorithm
  • Paper rank
  • Scientific metrics
  • Scientometric

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Krapivin, M., Marchese, M., & Casati, F. (2009). Exploring and understanding scientific metrics in citation networks. In Complex Sciences - First International Conference, Complex 2009, Revised Papers (PART 2 ed., Vol. 5 LNICST, pp. 1550-1563). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 5 LNICST, No. PART 2). https://doi.org/10.1007/978-3-642-02469-6_35