Сравнение методов

	Коворд-анализ	Сцинтиометрический анализ
Область	Наукометрия	Наукометрия
Семейство	Process / pipeline	Process / pipeline
Год появления	1983	1969 (term); 1963 (Price's foundational work)
Автор метода	Michel Callon, Jean-Pierre Courtial, and colleagues	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
Тип	Scientometric network analysis technique	Quantitative literature analysis
Основополагающий источник	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.
Другие названия	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA	scientometrics, science of science, quantitative science studies, research evaluation analysis
Связанные	6	6
Сводка	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.