方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Emergence Detection in Bibliometrics (Emerging Topic / Burst Detection)
分类方法记录 · process-pipeline / science-technology-studies
- 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
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