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 combined by identifying and linking duplicate records, i.e. record linkage. The unique coauthorship network was then used as basis for network analysis.
Improving Co-authorship Network Structures by Combining Heterogeneous Data Sources
FUCCELLA, Vittorio;VITALE, Maria Prosperina;
2016
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 combined by identifying and linking duplicate records, i.e. record linkage. The unique coauthorship network was then used as basis for network analysis.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
