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| Analisis Ko-Kata Bantuan VOSviewer× | Analisis Ko-Sitan× | |
|---|---|---|
| Bidang≠ | Saintometrik | Bibliometrik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | Co-word analysis: 1983; VOSviewer software: 2010 | 1973 |
| Pengasas≠ | Co-word analysis: Callon et al. (1983); VOSviewer tool: van Eck & Waltman (2010) | Henry Small |
| Jenis≠ | Bibliometric network analysis technique | Method |
| Sumber perintis≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. 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 via VOSviewer, VOSviewer co-word mapping, keyword network mapping, co-keyword analysis | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Berkaitan≠ | 6 | 5 |
| Ringkasan≠ | VOSviewer-assisted co-word analysis is a scientometric pipeline that constructs and visualizes keyword co-occurrence networks from a bibliographic corpus using VOSviewer software. By mapping how often pairs of author-assigned or index keywords appear together in the same publications, the method reveals the intellectual structure of a research field — its dominant themes, emerging topics, and conceptual clusters — producing interactive density and network maps that support systematic interpretation. | 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. |
| ScholarGateSet data ↗ |
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