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| 계량서지 분석× | Co-word 분석× | |
|---|---|---|
| 분야 | 과학계량학 | 과학계량학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1969 (term coined); practice dates to 1920s–1930s | 1983 |
| 창시자≠ | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) | Michel Callon, Jean-Pierre Courtial, and colleagues |
| 유형≠ | Quantitative literature analysis | Scientometric network analysis technique |
| 원전≠ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ | Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. DOI ↗ |
| 별칭 | bibliometrics, bibliometric study, bibliometric mapping, publication analysis | keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA |
| 관련 | 6 | 6 |
| 요약≠ | Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline. | Co-word analysis is a scientometric technique that quantifies how often pairs of keywords, subject terms, or title words appear together across a corpus of publications. By treating simultaneous occurrence as a proxy for conceptual relatedness, it constructs networks and clusters that reveal the intellectual structure, dominant themes, and emerging sub-fields of a research domain. |
| ScholarGate데이터셋 ↗ |
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