方法对比
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| VOSviewer 辅助共词分析× | 科学制图× | |
|---|---|---|
| 领域≠ | 科学计量学 | 文献计量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Co-word analysis: 1983; VOSviewer software: 2010 | 2000s |
| 提出者≠ | Co-word analysis: Callon et al. (1983); VOSviewer tool: van Eck & Waltman (2010) | Katy Börner, Chaomei Chen, and others |
| 类型≠ | Bibliometric network analysis technique | Method |
| 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 ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| 别名≠ | keyword co-occurrence analysis via VOSviewer, VOSviewer co-word mapping, keyword network mapping, co-keyword analysis | knowledge mapping, domain mapping, research landscape visualization |
| 相关≠ | 6 | 5 |
| 摘要≠ | 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. | Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning. |
| ScholarGate数据集 ↗ |
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