Comparer des méthodes

	Analyse scientométrique basée sur les réseaux	Analyse par couplage bibliographique
Domaine	Scientométrie	Bibliométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1965 (Price); computational refinement 2000s–2010s	1963
Auteur d'origine	Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping)	Melvin M. Kessler
Type	Quantitative bibliometric method	Method
Source fondatrice	van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.	Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131.
Alias	scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping	document coupling, bibliographic similarity
Apparentées	6	5
Résumé	Network-based scientometric analysis applies graph-theoretic methods to bibliographic data — publications, citations, authors, and keywords — to map the intellectual structure of a scientific field. By modeling documents or authors as nodes and their relationships (citations, co-authorships, co-word occurrences) as edges, it reveals clusters of knowledge, central actors, emerging topics, and the flow of ideas across disciplines. Tools such as VOSviewer, Gephi, and the R package bibliometrix are commonly used.	Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords.