手法を比較

	テーマ進化分析	共引用分析
分野	科学計量学	計量書誌学
系統	Process / pipeline	Process / pipeline
提唱年	2011	1973
提唱者	Manuel J. Cobo and colleagues (University of Granada)	Henry Small
種類	Quantitative bibliometric technique	Method
原典	Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.	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.
別名	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis	co-citation mapping, historiograph, direct citation, citation pair analysis
関連	6	5
概要	Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot.	Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.