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

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.