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.
Izvorni zapis
Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.
- 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
Uređene tvrdnje
Tvrdnje pohranjene u knjigu dokaza, svaka s vlastitom procjenom.
Ovaj prikaz ne izmišlja procjenu tvrdnje kada knjiga dokaza nema nijednu.
Povezane metode
Generirano iz grafa metode i prikazano kao strojno predložene relacije — ne implicira se nikakva tvrdnja dokaza.