ArTS Archivio della ricerca di Trieste
ArTS è il sistema di gestione integrata dei dati della ricerca adottato dall' Università degli Studi di Trieste
EnglishThe aim of the present contribution is to merge bibliographic data for members of a bounded scientific community in order to derive a complete unified archive, with top-international and nationally oriented production, as a new basis to carry out network analysis on a unified co-authorship network. A two-step procedure is used to deal with the identification of duplicate records and the author name disambiguation. Specifically, for the second step we strongly drew inspiration from a well-established unsupervised disambiguation method proposed in the literature following a network-based approach and requiring a restricted set of record attributes. Evidences from Italian academic statisticians were provided by merging data from three bibliographic archives. Non-negligible differences were observed in network results in the comparison of disambiguated and not disambiguated data sets, especially in network measures at individual level.
| Titolo: | Improving co-authorship network structures by combining multiple data sources: evidence from Italian academic statisticians |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Stato di pubblicazione: | Pubblicato |
| Rivista: | |
| Abstract: | The aim of the present contribution is to merge bibliographic data for members of a bounded scientific community in order to derive a complete unified archive, with top-international and nationally oriented production, as a new basis to carry out network analysis on a unified co-authorship network. A two-step procedure is used to deal with the identification of duplicate records and the author name disambiguation. Specifically, for the second step we strongly drew inspiration from a well-established unsupervised disambiguation method proposed in the literature following a network-based approach and requiring a restricted set of record attributes. Evidences from Italian academic statisticians were provided by merging data from three bibliographic archives. Non-negligible differences were observed in network results in the comparison of disambiguated and not disambiguated data sets, especially in network measures at individual level. |
| Handle: | http://hdl.handle.net/11368/2866726 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s11192-016-1872-y |
| URL: | https://link.springer.com/article/10.1007/s11192-016-1872-y |
| Appare nelle tipologie: | 1.1 Articolo in Rivista |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Improving co-authorship.pdf | Articolo principale | Documento in Versione Editoriale | Copyright Editore | Administrator Richiedi una copia |
http://hdl.handle.net/11368/2866726
