Aim of this procedural method is to construct well-founded corpora of scientific literature, and, hence, to track the evolution of knowledge fields from the reconstruction and clustering of words’ life-cycles. The method contains: • an original selection process of relevant keywords involving the identification of relevant stems and stem n-grams through a matching with item lists of relevant glossaries; • several types of normalization of temporal trajectories of word raw frequencies • a properly customized clustering of word life-cycles, with a graphical extensive investigation of the best candidates for cluster number, to unveil the important dynamics and decipher the history of a scientific field.

Chronological corpora curve clustering: From scientific corpora construction to knowledge dynamics discovery through word life-cycles clustering

Trevisani, Matilde
;
2018-01-01

Abstract

Aim of this procedural method is to construct well-founded corpora of scientific literature, and, hence, to track the evolution of knowledge fields from the reconstruction and clustering of words’ life-cycles. The method contains: • an original selection process of relevant keywords involving the identification of relevant stems and stem n-grams through a matching with item lists of relevant glossaries; • several types of normalization of temporal trajectories of word raw frequencies • a properly customized clustering of word life-cycles, with a graphical extensive investigation of the best candidates for cluster number, to unveil the important dynamics and decipher the history of a scientific field.
2018
19-nov-2018
Pubblicato
http://www.journals.elsevier.com/methodsx/
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S2215016118301912-main.pdf

accesso aperto

Tipologia: Documento in Versione Editoriale
Licenza: Creative commons
Dimensione 3.85 MB
Formato Adobe PDF
3.85 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2934626
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact