方法对比
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| 时间切片式图谱综述× | 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≠ | 2000s–2010s | 2011 |
| 提出者≠ | Campbell Collaboration / Gough, Oliver & Thomas | Manuel J. Cobo and colleagues (University of Granada) |
| 类型≠ | Evidence synthesis with temporal segmentation | Quantitative bibliometric technique |
| 开创性文献≠ | Gough, D., Oliver, S., & Thomas, J. (2012). An Introduction to Systematic Reviews. Sage Publications. ISBN: 978-1849204842 | 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. DOI ↗ |
| 别名 | temporal mapping review, time-period mapping review, longitudinal evidence map, chronological mapping review | TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis |
| 相关 | 6 | 6 |
| 摘要≠ | A time-sliced mapping review is a systematic evidence synthesis that partitions the search period into discrete temporal segments — such as five-year intervals — and constructs a separate evidence map for each slice. By comparing maps across periods, researchers can chart how topics emerge, peak, decline, or transform within a research field, producing a longitudinal picture of knowledge structure that a single-point mapping review cannot provide. | 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. |
| ScholarGate数据集 ↗ |
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