The investigation of the dynamics of national disciplinary profiles is at the forefront in quantitative investigations of science. There is an increasing number of papers that analyses the disciplinary specialization at the country level. We contribute to this literature by proposing a new approach to investigate the complex interactions among scientific disciplinary profiles. The approach is based on recent pseudo-likelihood techniques introduced in the framework of machine learning and complex systems. We infer, in a Bayesian framework, the network topology and the related interdependencies among national disciplinary profiles. We provide an illustration on data extracted from the Scopus database which relate to the national scientific production of most productive world countries for the 27 Scopus subject categories.

Assessing the interdependencies between scientific disciplinary profiles at the country level: A pseudo-likelihood approach / Daraio, C.; Fabbri, Francesco; Gavazzi, Giulia; Izzo, MARIA GRAZIA; Leuzzi, L.; Quaglia, Giammarco; Ruocco, G.. - (2017), pp. 1448-1459. (Intervento presentato al convegno 16th International Conference on Scientometrics and Informetrics, ISSI 2017 tenutosi a Wuhan; China).

Assessing the interdependencies between scientific disciplinary profiles at the country level: A pseudo-likelihood approach

Daraio C.;FABBRI, FRANCESCO;GAVAZZI, GIULIA;IZZO, MARIA GRAZIA;QUAGLIA, GIAMMARCO;Ruocco G.
2017

Abstract

The investigation of the dynamics of national disciplinary profiles is at the forefront in quantitative investigations of science. There is an increasing number of papers that analyses the disciplinary specialization at the country level. We contribute to this literature by proposing a new approach to investigate the complex interactions among scientific disciplinary profiles. The approach is based on recent pseudo-likelihood techniques introduced in the framework of machine learning and complex systems. We infer, in a Bayesian framework, the network topology and the related interdependencies among national disciplinary profiles. We provide an illustration on data extracted from the Scopus database which relate to the national scientific production of most productive world countries for the 27 Scopus subject categories.
2017
16th International Conference on Scientometrics and Informetrics, ISSI 2017
Country-level studies; Methods and techniques
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Assessing the interdependencies between scientific disciplinary profiles at the country level: A pseudo-likelihood approach / Daraio, C.; Fabbri, Francesco; Gavazzi, Giulia; Izzo, MARIA GRAZIA; Leuzzi, L.; Quaglia, Giammarco; Ruocco, G.. - (2017), pp. 1448-1459. (Intervento presentato al convegno 16th International Conference on Scientometrics and Informetrics, ISSI 2017 tenutosi a Wuhan; China).
File allegati a questo prodotto
File Dimensione Formato  
Daraio_Assessing-the-interdependencies_2017.pdf

solo gestori archivio

Note: http://issi-society.org/publications/issi-conference-proceedings/proceedings-of-issi-2017/
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.14 MB
Formato Adobe PDF
3.14 MB Adobe PDF   Contatta l'autore
Daraio_Frontespizio-indice_Assessing-the-interdependencies_2017.pdf

solo gestori archivio

Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 398.09 kB
Formato Adobe PDF
398.09 kB Adobe PDF   Contatta l'autore

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/11573/1322716
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
social impact