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Clustering citation histories in the Physical Review

Colavizza, Giovanni
•
FRANCESCHET, Massimo
2016
  • journal article

Periodico
JOURNAL OF INFORMETRICS
Abstract
We investigate publications trough their citation histories -- the history events are the citations given to the article by younger publications and the time of the event is the date of publication of the citing article. We propose a methodology, based on spectral clustering, to group citation histories, and the corresponding publications, into communities and apply multinomial logistic regression to provide the revealed communities with semantics in terms of publication features. We study the case of publications from the full Physical Review archive, covering 120 years of physics in all its domains. We discover two clear archetypes of publications -- marathoners and sprinters -- that deviate from the average middle-of-the-roads behaviour, and discuss some publication features, like age of references and type of publication, that are correlated with the membership of a publication into a certain community.
DOI
10.1016/j.joi.2016.07.009
WOS
WOS:000389548900011
Archivio
http://hdl.handle.net/11390/1105125
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84988423861
http://www.journals.elsevier.com/journal-of-informetrics/
Diritti
open access
Soggetti
  • Citation histories, C...

Scopus© citazioni
17
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
19
Data di acquisizione
Mar 21, 2024
Visualizzazioni
5
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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