Co-Authorship Network Analysis
Co-authorship network analysis is a method that maps research collaboration patterns by treating authors as nodes and co-authored papers as edges in a network graph. The structure, density, and centrality patterns of this network reveal how researchers connect, collaborate across institutions and disciplines, and form research communities. Pioneered formally by Newman (2001), co-authorship analysis provides quantitative insights into the social fabric of science, revealing collaboration patterns, identifying scientific leaders, and detecting institutional or disciplinary boundaries.
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- Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409. · DOI 10.1073/pnas.021544898
- Braun, T., Glänzel, W., & Schubert, A. (2001). Dynamic scientometric relations: Citation and collaboration patterns in selected research areas. Scientometrics, 51(3), 487–502. · URL
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