Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis de Co-citación Asistido por VOSviewer× | Análisis de Co-palabras× | |
|---|---|---|
| Campo | Cienciometría | Cienciometría |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1973 (co-citation); VOSviewer workflow from ~2010 | 1983 |
| Autor original≠ | Henry Small (co-citation, 1973); Nees Jan van Eck & Ludo Waltman (VOSviewer, 2010) | Michel Callon, Jean-Pierre Courtial, and colleagues |
| Tipo≠ | Bibliometric network analysis | Scientometric network analysis technique |
| Fuente seminal≠ | Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI ↗ | 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. DOI ↗ |
| Alias | VOSviewer co-citation mapping, bibliometric co-citation visualization, co-citation network analysis with VOSviewer, CCA-VOSviewer | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA |
| Relacionados | 6 | 6 |
| Resumen≠ | VOSviewer-assisted co-citation analysis combines Henry Small's co-citation measure — counting how often two documents are jointly cited by later work — with VOSviewer's automated network construction and visual mapping capabilities. The result is a spatial map of the intellectual base of a research field, where documents that share many citing contexts cluster together, revealing foundational schools of thought and their relationships. | 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. |
| ScholarGateConjunto de datos ↗ |
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