Comparer des méthodes

	Analyse par co-occurrence de mots	Analyse Scientométrique
Domaine	Scientométrie	Scientométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1983	1969 (term); 1963 (Price's foundational work)
Auteur d'origine	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
Source fondatrice	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.
Alias	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA	scientometrics, science of science, quantitative science studies, research evaluation analysis
Apparentées	6	6
Résumé	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.