Salīdzināt metodes

	Tīklos balstīta zinātniskā analīze (Network-based Scientometric Analysis)	Zinātnes kartēšana
Nozare	Zinātnometrija	Bibliometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1965 (Price); computational refinement 2000s–2010s	2000s
Autors	Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping)	Katy Börner, Chaomei Chen, and others
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.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Citi nosaukumi	scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping	knowledge mapping, domain mapping, research landscape visualization
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.	Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning.