Σύγκριση μεθόδων

	Ανάλυση Δικτύων Συν-συγγραφής	Ανάλυση Συν-αναφορών
Πεδίο	Βιβλιομετρία	Βιβλιομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2001	1973
Δημιουργός	Mark E. J. Newman and others	Henry Small
Τύπος	Method	Method
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	collaboration network, authorship network, research collaboration mapping	co-citation mapping, historiograph, direct citation, citation pair analysis
Συναφείς	4	5
Σύνοψη	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.