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 language | English (US) |
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Article number | 9 |
Journal | Social Network Analysis and Mining |
Volume | 7 |
Issue number | 1 |
DOIs | |
State | Published - 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