方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 基于VOSviewer的主题演化分析× | 文献计量分析× | |
|---|---|---|
| 领域 | 科学计量学 | 科学计量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2010–2011 | 1969 (term coined); practice dates to 1920s–1930s |
| 提出者≠ | Nees Jan van Eck & Ludo Waltman (VOSviewer); thematic evolution methodology associated with Cobo et al. | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| 类型≠ | Scientometric workflow / bibliometric visualization pipeline | Quantitative literature analysis |
| 开创性文献≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| 别名 | VOSviewer thematic mapping, keyword co-occurrence thematic evolution, science mapping thematic evolution, VOSviewer longitudinal thematic analysis | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline. |
| ScholarGate数据集 ↗ |
|
|