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| VOSviewer dan CiteSpace: Alat Analisis Bibliometrik dan Visualisasi× | Analisis Ko-Sitan× | |
|---|---|---|
| Bidang | Bibliometrik | Bibliometrik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2006–2010 | 1973 |
| Pengasas≠ | Nees Jan van Eck & Ludo Waltman (VOSviewer); Chaomei Chen (CiteSpace) | Henry Small |
| Jenis≠ | Tool | 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≠ | bibliometric mapping software, citation visualization tools, science mapping tools | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Berkaitan≠ | 4 | 5 |
| Ringkasan≠ | VOSviewer and CiteSpace are specialized software tools designed to conduct bibliometric analysis and create science maps from research literature. VOSviewer (developed by Van Eck & Waltman, 2010) excels at creating publication landscapes through co-occurrence, co-citation, and bibliographic coupling analysis with intuitive visual output. CiteSpace (developed by Chaomei Chen, 2006) focuses on detecting emerging research trends and research fronts through direct citation analysis and specialized temporal algorithms. Together, these tools democratized science mapping, enabling researchers without programming expertise to visualize research domains comprehensively. | 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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