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Modelling the User Modelling Community (and Other Communities as Well)

DE NART, Dario
•
DEGL'INNOCENTI, Dante
•
BASALDELLA, Marco
altro
Pavan, Andrea
2015
  • conference object

Abstract
Discovering and modelling research communities’ activities is a task that can lead to a more effective scientific process and support the development of new technologies. Journals and conferences already offer an implicit clusterization of researchers and research topics, and social analysis techniques based on co-authorship relations can highlight hidden relationships among researchers, however, little work has been done on the actual content of publications.We claim that a content-based analysis on the full text of accepted papers may lead to a better modeling and understanding of communities’ activities and their emerging trends. In this work we present an extensive case study of research community modelling based upon the analysis of over 450 events and 7000 papers.
DOI
10.1007/978-3-319-20267-9_31
WOS
WOS:000364104400031
Archivio
http://hdl.handle.net/11390/1071137
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84937458673
http://springerlink.com/content/0302-9743/copyright/2005/
Diritti
metadata only access
Soggetti
  • Analysis technique

  • Clusterization

  • Co-authorship

  • Content-based analysi...

  • Emerging trend

  • Research communitie

  • Research topic

  • User Modelling

Scopus© citazioni
4
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
3
Data di acquisizione
Mar 24, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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