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.
Baca metode selengkapnya
Masuk dengan akun gratis untuk membaca bagian ini.
Peta metode
Lingkup metode terkait — pilih sebuah simpul untuk menjelajah.
Sumber
- 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 ↗
Cara menyitasi halaman ini
ScholarGate. (2026, June 22). Emergence Detection in Bibliometrics (Emerging Topic / Burst Detection). ScholarGate. https://scholargate.app/id/science-technology-studies/emergence-detection-bibliometrics
Metode yang mana?
Letakkan metode ini berdampingan dengan kerabat terdekatnya dan baca secara bersisian — pustaka menata bukunya di atas meja; pilihan ada di tangan Anda.
- Altmetrik dan Metrik Tingkat ArtikelKeterampilan Penelitian↔ bandingkan
- Analisis Ko-kataSaintometrika↔ bandingkan
- Pemetaan SainsBibliometrika↔ bandingkan
- Technological Innovation SystemsScience Technology Studies↔ bandingkan
Metode serupa
Menemukan masalah di halaman ini? Laporkan atau usulkan perbaikan →