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Improving Co-authorship Network Structures by Combining Heterogeneous Data Sources

Fuccella, Vittorio
•
DE STEFANO, DOMENICO
•
Vitale, Maria Prosperina
•
ZACCARIN, SUSANNA
2016
  • book part

Abstract
The present paper aims at describing the scientific collaboration patterns of the Italian academic statisticians by merging bibliographic data from heterogenous sources–ISI-WoS, Current Index to Statistics, and the database of nationally funded research projects, PRIN. To obtain a unified database, containing both top international as well as nationally oriented production, information were com- bined by identifying and linking duplicate records, i.e. record linkage. The unique co-authorship network was then used as basis for network analysis.
DOI
10.1007/978-3-319-44093-4_14
Archivio
http://hdl.handle.net/11368/2893390
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85052378540
Diritti
closed access
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2893390
Soggetti
  • Bibliographic archive...

  • Author disambiguation...

  • Scientific collaborat...

  • Social Network Analys...

Scopus© citazioni
0
Data di acquisizione
Jun 7, 2022
Vedi dettagli
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