Comparar métodos

	Análise de Co-Ocorrência de Palavras-Chave Assistida por VOSviewer	Science Mapping
Área	Cientometria	Bibliometria
Família	Process / pipeline	Process / pipeline
Ano de origem	Co-word analysis: 1983; VOSviewer software: 2010	2000s
Autor original	Co-word analysis: Callon et al. (1983); VOSviewer tool: van Eck & Waltman (2010)	Katy Börner, Chaomei Chen, and others
Tipo	Bibliometric network analysis technique	Method
Fonte seminal	van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Outros nomes	keyword co-occurrence analysis via VOSviewer, VOSviewer co-word mapping, keyword network mapping, co-keyword analysis	knowledge mapping, domain mapping, research landscape visualization
Relacionados	6	5
Resumo	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.	Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning.