Process / pipelineEmerging topic and burst detection
Emergence Detection in Bibliometrics
Emergence detection in bibliometrics is a family of text-mining and bibliometric methods for spotting emerging research topics and technologies early, by analysing the dynamics of terms, citations, and references in publication streams. It combines burst-detection algorithms that flag sudden surges in usage with operational criteria for what makes a topic genuinely 'emerging', turning large scholarly corpora into early signals of scientific and technological change.
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方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- Kleinberg, J. (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373-397. DOI: 10.1023/A:1024940629314 ↗
- Rotolo, D., Hicks, D., & Martin, B. R. (2015). What is an emerging technology? Research Policy, 44(10), 1827-1843. DOI: 10.1016/j.respol.2015.06.006 ↗
如何引用本页
ScholarGate. (2026, June 22). Emergence Detection in Bibliometrics (Emerging Topic / Burst Detection). ScholarGate. https://scholargate.app/zh/science-technology-studies/emergence-detection-bibliometrics
选用哪种方法？
将本方法与其最相近的同类并置，并排研读——本馆将书籍铺陈于案上，取舍则由您定夺。
- 另类计量指标与文章级计量指标研究技能↔ 比较
- 共词分析科学计量学↔ 比较
- 科学制图文献计量学↔ 比较
- Technological Innovation SystemsScience Technology Studies↔ 比较