Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi wa Mitandao wa Co-citation× | Uchambuzi wa maneno-pamoja× | |
|---|---|---|
| Nyanja | Saintometriki | Saintometriki |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1973 (co-citation); network-analytic extension widely adopted 2000s–2010s | 1983 |
| Mwanzilishi≠ | Henry Small (co-citation foundation); network visualization extended by Chaomei Chen and others | Michel Callon, Jean-Pierre Courtial, and colleagues |
| Aina≠ | Bibliometric network analysis | Scientometric network analysis technique |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala | co-citation network analysis, bibliometric network co-citation, co-citation mapping, CCA network approach | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | Network-based co-citation analysis is a bibliometric technique that measures how often pairs of documents are cited together by later works, then models those relationships as a weighted network. Nodes represent documents (or authors or journals), edges represent co-citation frequency, and network algorithms identify clusters of intellectually related literature. It is widely used in systematic and scoping reviews to map the intellectual structure of a research field. | 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. |
| ScholarGateSeti ya data ↗ |
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