Over-time measurement of triadic closure in coauthorship networks
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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.
KeywordsClustering coefficient Transitivity Triadic closure Coauthorship networks
This work was supported by Korea Institute of Science and Technology Information (KISTI). We would like to thank Mark E. J. Newman and Tore Opsahl for providing codes.
- Burt RS (2005) Brokerage and closure: an introduction to social capital. Oxford University Press, OxfordGoogle Scholar
- Csardi G, Nepusz T (2006) The igraph software package for complex network research. Inter J Complex Syst 1695. http://igraph.org
- Grossman JW (2002) Patterns of collaboration in mathematical research. SIAM News 35(9):8–9Google Scholar
- Opsahl T (2009) Structure and evolution of weighted networks. University of London (Queen Mary College), LondonGoogle Scholar
- Türker İ, Durgut R, Çavuşoğlu A (2016) Co-authorship network comparison of four Turkish universities. In: Paper presented at the international conference on research in education & science, Bodrum, TurkeyGoogle Scholar