方法对比
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| 基于网络的文献计量分析× | 文献耦合分析× | |
|---|---|---|
| 领域≠ | 科学计量学 | 文献计量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1965 (Price); computational refinement 2000s–2010s | 1963 |
| 提出者≠ | Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping) | Melvin M. Kessler |
| 类型≠ | Quantitative bibliometric method | 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 ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| 别名≠ | scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping | document coupling, bibliographic similarity |
| 相关≠ | 6 | 5 |
| 摘要≠ | Network-based scientometric analysis applies graph-theoretic methods to bibliographic data — publications, citations, authors, and keywords — to map the intellectual structure of a scientific field. By modeling documents or authors as nodes and their relationships (citations, co-authorships, co-word occurrences) as edges, it reveals clusters of knowledge, central actors, emerging topics, and the flow of ideas across disciplines. Tools such as VOSviewer, Gephi, and the R package bibliometrix are commonly used. | Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords. |
| ScholarGate数据集 ↗ |
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