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| Analisis Evolusi Tematik Berbantuan VOSviewer× | Analisis Ko-Sitasi× | |
|---|---|---|
| Bidang≠ | Saintometrika | Bibliometrika |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2010–2011 | 1973 |
| Pencetus≠ | Nees Jan van Eck & Ludo Waltman (VOSviewer); thematic evolution methodology associated with Cobo et al. | Henry Small |
| Tipe≠ | Scientometric workflow / bibliometric visualization pipeline | 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 | VOSviewer thematic mapping, keyword co-occurrence thematic evolution, science mapping thematic evolution, VOSviewer longitudinal thematic analysis | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Terkait≠ | 6 | 5 |
| Ringkasan≠ | VOSviewer-assisted thematic evolution analysis is a scientometric pipeline that uses the VOSviewer software to build keyword co-occurrence networks across chronological time slices of a bibliographic dataset, revealing how research themes emerge, converge, fragment, or disappear over time within a scientific field. By coupling VOSviewer's density-based clustering with period-by-period comparison, researchers obtain a visual and quantitative account of a field's intellectual trajectory. | 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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