Over-time measurement of triadic closure in coauthorship networks

Jinseok Kim, Jana Diesner

Research output: Contribution to journalArticlepeer-review

Abstract

Applying the concept of triadic closure to coauthorship networks means that scholars are likely to publish a joint paper if they have previously coauthored with the same people. Prior research has identified moderate to high (20 to 40%) closure rates; suggesting this mechanism is a reasonable explanation for tie formation between future coauthors. We show how calculating triadic closure based on prior operationalizations of closure, namely Newman’s measure for one-mode networks (NCC) and Opsahl’s measure for two-mode networks (OCC) may lead to higher amounts of closure compared to measuring closure over time via a metric that we introduce and test in this paper. Based on empirical experiments using four large-scale, longitudinal datasets, we find a lower bound of 1–3% closure rates and an upper bound of 4–7%. These results motivate research on new explanatory factors for the formation of coauthorship links.

Original languageEnglish (US)
Article number9
JournalSocial Network Analysis and Mining
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017

Keywords

  • Clustering coefficient
  • Coauthorship networks
  • Transitivity
  • Triadic closure

ASJC Scopus subject areas

  • Information Systems
  • Communication
  • Media Technology
  • Human-Computer Interaction
  • Computer Science Applications

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