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| Analisi Co-word× | Analisi delle co-citazioni× | |
|---|---|---|
| Campo≠ | Scientometria | Bibliometria |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1983 | 1973 |
| Ideatore≠ | Michel Callon, Jean-Pierre Courtial, and colleagues | Henry Small |
| Tipo≠ | Scientometric network analysis technique | Method |
| Fonte seminale≠ | 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 ↗ | 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 ↗ |
| Alias | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Correlati≠ | 6 | 5 |
| Sintesi≠ | 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. | Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time. |
| ScholarGateInsieme di dati ↗ |
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