Comparer des méthodes

	Analyse de réseaux de coauteurs	Analyse de co-citation
Domaine	Bibliométrie	Bibliométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2001	1973
Auteur d'origine	Mark E. J. Newman and others	Henry Small
Type	Method	Method
Source fondatrice	Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409.	Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269.
Alias	collaboration network, authorship network, research collaboration mapping	co-citation mapping, historiograph, direct citation, citation pair analysis
Apparentées	4	5
Résumé	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.	Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.