Salīdzināt metodes

	Tīklos balstīta zinātniskā analīze (Network-based Scientometric Analysis)	Bibliographic Coupling Analysis
Nozare	Zinātnometrija	Bibliometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1965 (Price); computational refinement 2000s–2010s	1963
Autors	Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping)	Melvin M. Kessler
Tips	Quantitative bibliometric method	Method
Pirmavots	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.
Citi nosaukumi	scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping	document coupling, bibliographic similarity
Saistītās	6	5
Kopsavilkums	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.