Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise Cienciométrica Baseada em Redes× | Science Mapping× | |
|---|---|---|
| Área≠ | Cientometria | Bibliometria |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1965 (Price); computational refinement 2000s–2010s | 2000s |
| Autor original≠ | Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping) | Katy Börner, Chaomei Chen, and others |
| Tipo≠ | Quantitative bibliometric method | Method |
| Fonte seminal≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Outros nomes≠ | scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping | knowledge mapping, domain mapping, research landscape visualization |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | Network-based scientometric analysis applies graph-theoretic methods to bibliographic data — publications, citations, authors, and keywords — to map the intellectual structure of a scientific field. By modeling documents or authors as nodes and their relationships (citations, co-authorships, co-word occurrences) as edges, it reveals clusters of knowledge, central actors, emerging topics, and the flow of ideas across disciplines. Tools such as VOSviewer, Gephi, and the R package bibliometrix are commonly used. | 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. |
| ScholarGateConjunto de dados ↗ |
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