So sánh phương pháp

	Phân tích Tiến hóa Chủ đề theo Lát cắt Thời gian	Phân tích tiến hóa chủ đề
Lĩnh vực	Trắc lượng khoa học	Trắc lượng khoa học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2011–2012	2011
Người khởi xướng	Cobo, López-Herrera, Herrera-Viedma & Herrera	Manuel J. Cobo and colleagues (University of Granada)
Loại	Longitudinal bibliometric analysis	Quantitative bibliometric technique
Công trình gốc	Cobo, M. J., López-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.	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.
Tên gọi khác	longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Liên quan	6	6
Tóm tắt	Time-sliced thematic evolution analysis is a bibliometric method that divides a corpus of publications into consecutive time windows and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By applying co-word analysis and strategic-diagram mapping within each slice and then linking themes across slices, it reveals the intellectual trajectory of a research field over time.	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.