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| bibliometrix を用いた共引用分析× | VOSviewer支援共引用分析× | |
|---|---|---|
| 分野 | 科学計量学 | 科学計量学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2017 (bibliometrix implementation); 1973 (co-citation concept) | 1973 (co-citation); VOSviewer workflow from ~2010 |
| 提唱者≠ | Co-citation: Henry Small (1973); bibliometrix package: Massimo Aria & Corrado Cuccurullo (2017) | Henry Small (co-citation, 1973); Nees Jan van Eck & Ludo Waltman (VOSviewer, 2010) |
| 種類≠ | Computational scientometric pipeline | Bibliometric network analysis |
| 原典≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI ↗ |
| 別名 | R bibliometrix co-citation, bibliometrix CCA, co-citation network analysis with bibliometrix, bibliometrix cocitation mapping | VOSviewer co-citation mapping, bibliometric co-citation visualization, co-citation network analysis with VOSviewer, CCA-VOSviewer |
| 関連 | 6 | 6 |
| 概要≠ | bibliometrix-assisted co-citation analysis combines Henry Small's co-citation measure with the open-source R package bibliometrix to map the intellectual structure of a research field. When two documents are frequently cited together by third papers, they are considered intellectually linked; the bibliometrix package automates construction of the co-citation matrix, similarity normalization, community detection, and network visualization, turning raw bibliographic exports into interpretable science maps. | VOSviewer-assisted co-citation analysis combines Henry Small's co-citation measure — counting how often two documents are jointly cited by later work — with VOSviewer's automated network construction and visual mapping capabilities. The result is a spatial map of the intellectual base of a research field, where documents that share many citing contexts cluster together, revealing foundational schools of thought and their relationships. |
| ScholarGateデータセット ↗ |
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