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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Metodekort
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Kilder
- 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 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 22). Emergence Detection in Bibliometrics (Emerging Topic / Burst Detection). ScholarGate. https://scholargate.app/da/science-technology-studies/emergence-detection-bibliometrics
Hvilken metode?
Stil denne metode ved siden af dens nærmeste slægtninge, og læs dem side om side — biblioteket lægger bøgerne på bordet; valget er dit.
- Altmetrics og artikelbaserede målingerForskningsfærdigheder↔ sammenlign
- Co-word AnalyseScientometri↔ sammenlign
- Science MappingBibliometri↔ sammenlign
- Technological Innovation SystemsScience Technology Studies↔ sammenlign
Lignende metoder
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