方法对比

	基于Bibliometrix的专题演化分析	主题演化分析
领域	科学计量学	科学计量学
方法族	Process / pipeline	Process / pipeline
起源年份	2017 (bibliometrix package); thematic evolution approach ~2011	2011
提出者	Massimo Aria & Corrado Cuccurullo (bibliometrix package); thematic evolution method from Cobo et al.	Manuel J. Cobo and colleagues (University of Granada)
类型	Computational scientometric workflow	Quantitative bibliometric technique
开创性文献	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.	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.
别名	bibliometrix thematic map analysis, R-based thematic evolution analysis, bibliometrix strategic diagram analysis, thematic evolution analysis with bibliometrix	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
相关	6	6
摘要	Bibliometrix-assisted thematic evolution analysis uses the bibliometrix R package to trace how research themes emerge, mature, decline, or transform across successive time periods within a scientific field. By combining co-word analysis with strategic diagram visualisation, the workflow maps the intellectual structure of a field and reveals longitudinal shifts in topic centrality and development, producing reproducible, publication-ready outputs within a single R environment.	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.