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EnglishCommunity detection is a very appealing topic in network analysis. A precise definition of community is still lacking, so the comparison of different methods is not a simple task. The paper shows exploratory results by adopting two wellknown community detection methods and a new proposal to discover groups of scientists in the co-authorship network of Italian academic statisticians.
| Titolo: | Community Structure in Co-authorship Networks: The Case of Italian Statisticians |
| Autori: | ZACCARIN, SUSANNA (Corresponding) |
| Data di pubblicazione: | 2019 |
| Serie: | |
| Abstract: | Community detection is a very appealing topic in network analysis. A precise definition of community is still lacking, so the comparison of different methods is not a simple task. The paper shows exploratory results by adopting two wellknown community detection methods and a new proposal to discover groups of scientists in the co-authorship network of Italian academic statisticians. |
| Handle: | http://hdl.handle.net/11368/2950842 |
| ISBN: | 978-3-030-21139-4 |
| Appare nelle tipologie: | 2.1 Contributo in Volume (Capitolo,Saggio) |
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| Springer2018_DDVZ_FIN.pdf | Bozza finale post-referaggio (post-print) | Digital Rights Management non definito | Embargo: 07/09/2020 Richiedi una copia | |
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