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| 基于VOSviewer的科学制图× | 共词分析× | |
|---|---|---|
| 领域 | 科学计量学 | 科学计量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2010 | 1983 |
| 提出者≠ | Nees Jan van Eck & Ludo Waltman (Leiden University) | Michel Callon, Jean-Pierre Courtial, and colleagues |
| 类型≠ | Bibliometric mapping technique | Scientometric network analysis technique |
| 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 ↗ | 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 ↗ |
| 别名 | VOSviewer science mapping, bibliometric science mapping with VOSviewer, VOS-based science mapping, VOSviewer network mapping | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA |
| 相关 | 6 | 6 |
| 摘要≠ | VOSviewer-assisted science mapping uses the VOSviewer software — developed at Leiden University — to construct and visualize bibliometric networks from publication metadata. It applies the VOS (Visualization of Similarities) mapping technique to reveal intellectual structures in a research field: co-authorship networks, citation landscapes, keyword clusters, and thematic frontiers, all rendered as interactive, color-coded network maps that expose how concepts, authors, and journals are relationally positioned within a discipline. | 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. |
| ScholarGate数据集 ↗ |
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