Salīdzināt metodes

	Tīklos balstīta zinātniskā analīze (Network-based Scientometric Analysis)	Analīze pēc līdzvārdiem
Nozare	Zinātnometrija	Zinātnometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1965 (Price); computational refinement 2000s–2010s	1983
Autors	Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping)	Michel Callon, Jean-Pierre Courtial, and colleagues
Tips	Quantitative bibliometric method	Scientometric network analysis technique
Pirmavots	van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.	Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235.
Citi nosaukumi	scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Saistītās	6	6
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.	Co-word analysis is a scientometric technique that quantifies how often pairs of keywords, subject terms, or title words appear together across a corpus of publications. By treating simultaneous occurrence as a proxy for conceptual relatedness, it constructs networks and clusters that reveal the intellectual structure, dominant themes, and emerging sub-fields of a research domain.