Scientometrics

, Volume 85, Issue 1, pp 219–242

A new approach to analyzing patterns of collaboration in co-authorship networks: mesoscopic analysis and interpretation

Authors

    • Computer and Information ScienceCornell University
  • Asif-ul Haque
    • Computer and Information ScienceCornell University
  • Carl Lagoze
    • Computer and Information ScienceCornell University
Article

DOI: 10.1007/s11192-010-0224-6

Cite this article as:
Velden, T., Haque, A. & Lagoze, C. Scientometrics (2010) 85: 219. doi:10.1007/s11192-010-0224-6

Abstract

This paper focuses on methods to study patterns of collaboration in co-authorship networks at the mesoscopic level. We combine qualitative methods (participant interviews) with quantitative methods (network analysis) and demonstrate the application and value of our approach in a case study comparing three research fields in chemistry. A mesoscopic level of analysis means that in addition to the basic analytic unit of the individual researcher as node in a co-author network, we base our analysis on the observed modular structure of co-author networks. We interpret the clustering of authors into groups as bibliometric footprints of the basic collective units of knowledge production in a research specialty. We find two types of coauthor-linking patterns between author clusters that we interpret as representing two different forms of cooperative behavior, transfer-type connections due to career migrations or one-off services rendered, and stronger, dedicated inter-group collaboration. Hence the generic coauthor network of a research specialty can be understood as the overlay of two distinct types of cooperative networks between groups of authors publishing in a research specialty. We show how our analytic approach exposes field specific differences in the social organization of research.

Keywords

Network analysisCo-author networksScientific communicationChemistry

Supplementary material

11192_2010_224_MOESM1_ESM.pdf (433 kb)
Supplementary material 1 (PDF 433 kb)
11192_2010_224_MOESM2_ESM.csv (162 kb)
Supplementary material 2 (CSV 162 kb)
11192_2010_224_MOESM3_ESM.zip (1.4 mb)
Supplementary material 1 (ZIP 1,429 kb)

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2010