This paper aims to report new results on the co-authorship networks of Italian academic statisticians, a community of more than 700 scholars distributed in 5 distinct scientific subfields. Data on scientific production is obtained from Scival platform using author Scopus IDs as scholar’s unique identifier that allows to overcome misspellings, ambiguous names, duplicates, etc. that may affect network construction. Co-authorship structures and productivity over time will be analyzed and compared in two time periods: from 2012 to 2015 and from 2016 to 2019.

Collaboration networks: methodological issues and updated empirical evidence on Italian statisticians

Domenico De Stefano
;
Amin Gino Fabbrucci Barbagli;Francesco Santelli;Susanna Zaccarin
2023-01-01

Abstract

This paper aims to report new results on the co-authorship networks of Italian academic statisticians, a community of more than 700 scholars distributed in 5 distinct scientific subfields. Data on scientific production is obtained from Scival platform using author Scopus IDs as scholar’s unique identifier that allows to overcome misspellings, ambiguous names, duplicates, etc. that may affect network construction. Co-authorship structures and productivity over time will be analyzed and compared in two time periods: from 2012 to 2015 and from 2016 to 2019.
2023
9791280333698
https://doi.org/10.60984/978-88-94593-36-5-IES2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3055558
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