Salīdzināt metodes

	Analīze pēc līdzvārdiem	Thematic Evolution Analysis
Nozare	Zinātnometrija	Zinātnometrija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1983	2011
Autors	Michel Callon, Jean-Pierre Courtial, and colleagues	Manuel J. Cobo and colleagues (University of Granada)
Tips	Scientometric network analysis technique	Quantitative bibliometric technique
Pirmavots	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.	Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.
Citi nosaukumi	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Saistītās	6	6
Kopsavilkums	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.	Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot.