Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de Evolução Temática× | Science Mapping× | |
|---|---|---|
| Área≠ | Cientometria | Bibliometria |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2011 | 2000s |
| Autor original≠ | Manuel J. Cobo and colleagues (University of Granada) | Katy Börner, Chaomei Chen, and others |
| Tipo≠ | Quantitative bibliometric technique | Method |
| Fonte seminal≠ | Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. 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≠ | TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis | knowledge mapping, domain mapping, research landscape visualization |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot. | 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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