Sammenlign metoder

	Co-word Analyse	Scientometrisk Analyse
Fagområde	Scientometri	Scientometri
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1983	1969 (term); 1963 (Price's foundational work)
Ophavsperson	Michel Callon, Jean-Pierre Courtial, and colleagues	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
Type	Scientometric network analysis technique	Quantitative literature analysis
Oprindelig kilde	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.	Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka.
Aliasser	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA	scientometrics, science of science, quantitative science studies, research evaluation analysis
Relaterede	6	6
Resumé	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.	Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads.