Сравнение методов

	Совместный анализ слов с использованием VOSviewer	Сцинтиометрический анализ
Область	Наукометрия	Наукометрия
Семейство	Process / pipeline	Process / pipeline
Год появления	Co-word analysis: 1983; VOSviewer software: 2010	1969 (term); 1963 (Price's foundational work)
Автор метода	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)
Тип	Bibliometric network analysis technique	Quantitative literature analysis
Основополагающий источник	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.
Другие названия	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
Связанные	6	6
Сводка	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.