השוואת שיטות
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| ניתוח ציטוט-משותף מבוסס-רשת× | ניתוח ציטוט-משותף (Co-Citation Analysis)× | |
|---|---|---|
| תחום≠ | סיינטומטריה | ביבליומטריה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1973 (co-citation); network-analytic extension widely adopted 2000s–2010s | 1973 |
| הוגה השיטה≠ | Henry Small (co-citation foundation); network visualization extended by Chaomei Chen and others | Henry Small |
| סוג≠ | Bibliometric network analysis | Method |
| מקור מכונן | 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 ↗ | 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 ↗ |
| כינויים | co-citation network analysis, bibliometric network co-citation, co-citation mapping, CCA network approach | co-citation mapping, historiograph, direct citation, citation pair analysis |
| קשורות≠ | 6 | 5 |
| תקציר≠ | Network-based co-citation analysis is a bibliometric technique that measures how often pairs of documents are cited together by later works, then models those relationships as a weighted network. Nodes represent documents (or authors or journals), edges represent co-citation frequency, and network algorithms identify clusters of intellectually related literature. It is widely used in systematic and scoping reviews to map the intellectual structure of a research field. | Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time. |
| ScholarGateמערך נתונים ↗ |
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