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메타 회귀 기반 동시 출현 단어 분석×Co-word 분석×
분야과학계량학과학계량학
계열Process / pipelineProcess / pipeline
기원 연도2000s–2010s (hybrid application period)1983
창시자Derived from Callon et al. (co-word analysis, 1983) and Glass (meta-regression lineage, 1976); hybrid application developed incrementally in scientometrics and evidence synthesisMichel Callon, Jean-Pierre Courtial, and colleagues
유형Hybrid scientometric-statistical methodScientometric network analysis technique
원전Callon, 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 ↗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 ↗
별칭MR-CWA, meta-regression co-word mapping, regression-weighted co-word analysis, co-word meta-regressionkeyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
관련46
요약Meta-regression-based co-word analysis is a hybrid scientometric technique that enriches traditional co-word mapping by weighting keyword co-occurrence networks with meta-regression-derived effect estimates. Instead of treating all documents as equally informative, the method uses statistical regression to incorporate study-level moderators — such as publication year, sample size, or methodological quality — into the co-occurrence structure, revealing how thematic clusters in a research field vary across moderator conditions.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.
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