Comparer des méthodes

	Analyse de co-occurrence de mots assistée par VOSviewer	Analyse Scientométrique
Domaine	Scientométrie	Scientométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	Co-word analysis: 1983; VOSviewer software: 2010	1969 (term); 1963 (Price's foundational work)
Auteur d'origine	Co-word analysis: Callon et al. (1983); VOSviewer tool: van Eck & Waltman (2010)	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
Type	Bibliometric network analysis technique	Quantitative literature analysis
Source fondatrice	van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.	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 via VOSviewer, VOSviewer co-word mapping, keyword network mapping, co-keyword analysis	scientometrics, science of science, quantitative science studies, research evaluation analysis
Apparentées	6	6
Résumé	VOSviewer-assisted co-word analysis is a scientometric pipeline that constructs and visualizes keyword co-occurrence networks from a bibliographic corpus using VOSviewer software. By mapping how often pairs of author-assigned or index keywords appear together in the same publications, the method reveals the intellectual structure of a research field — its dominant themes, emerging topics, and conceptual clusters — producing interactive density and network maps that support systematic interpretation.	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.