방법 비교

	네트워크 기반 공인용 분석	Co-word 분석
분야	과학계량학	과학계량학
계열	Process / pipeline	Process / pipeline
기원 연도	1973 (co-citation); network-analytic extension widely adopted 2000s–2010s	1983
창시자	Henry Small (co-citation foundation); network visualization extended by Chaomei Chen and others	Michel Callon, Jean-Pierre Courtial, and colleagues
유형	Bibliometric network analysis	Scientometric network analysis technique
원전	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.	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.
별칭	co-citation network analysis, bibliometric network co-citation, co-citation mapping, CCA network approach	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
관련	6	6
요약	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-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.