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. This paper shows exploratory results by adopting two well-known community detection methods and a new proposal to discover groups of scientists in the co-authorship network of Italian academic statisticians.
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Notes
- 1.
The five subfields established by the Italian governmental official classification are: Methodological Statistics, Statistics for Experimental and Technological Research, Economic Statistics, Demography, and Social Statistics.
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Stefano, D.D., Vitale, M.P., Zaccarin, S. (2019). Community Structure in Co-authorship Networks: The Case of Italian Statisticians. In: Greselin, F., Deldossi, L., Bagnato, L., Vichi, M. (eds) Statistical Learning of Complex Data. CLADAG 2017. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-030-21140-0_7
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