So sánh phương pháp

	Phân tích đồng xuất hiện từ khóa dựa trên siêu hồi quy	Phân tích đồng từ
Lĩnh vực	Trắc lượng khoa học	Trắc lượng khoa học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2000s–2010s (hybrid application period)	1983
Người khởi xướng	Derived from Callon et al. (co-word analysis, 1983) and Glass (meta-regression lineage, 1976); hybrid application developed incrementally in scientometrics and evidence synthesis	Michel Callon, Jean-Pierre Courtial, and colleagues
Loại	Hybrid scientometric-statistical method	Scientometric network analysis technique
Công trình gốc	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.	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.
Tên gọi khác	MR-CWA, meta-regression co-word mapping, regression-weighted co-word analysis, co-word meta-regression	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
Liên quan	4	6
Tóm tắt	Meta-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.