方法对比

	领域图谱科学计量分析	共词分析
领域	科学计量学	科学计量学
方法族	Process / pipeline	Process / pipeline
起源年份	2000s (mature form); roots in 1960s-1970s scientometrics	1983
提出者	Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small	Michel Callon, Jean-Pierre Courtial, and colleagues
类型	Quantitative bibliometric analysis	Scientometric network analysis technique
开创性文献	Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374.	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.
别名	science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
相关	6	6
摘要	Field-mapping scientometric analysis uses quantitative bibliometric techniques — co-citation, bibliographic coupling, co-authorship, and keyword co-occurrence — to delineate the intellectual structure and boundaries of a scientific field. By transforming large publication datasets into similarity networks and clustering them into research fronts and knowledge bases, it produces visual maps that reveal how subfields relate, where boundaries lie, and how the field evolves over time.	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.