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| ネットワークベースの計量書誌学的分析× | 書誌カップリング分析× | |
|---|---|---|
| 分野≠ | 科学計量学 | 計量書誌学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1965 (Price); computational refinement 2000s–2010s | 1963 |
| 提唱者≠ | Derek J. de Solla Price (network citation structure); Nees Jan van Eck & Ludo Waltman (computational network mapping) | Melvin M. Kessler |
| 種類≠ | Quantitative bibliometric method | Method |
| 原典≠ | 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 ↗ |
| 別名≠ | scientometric network analysis, bibliometric network analysis, citation network scientometrics, science network mapping | document coupling, bibliographic similarity |
| 関連≠ | 6 | 5 |
| 概要≠ | 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データセット ↗ |
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