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AuthorTruong, Quoc-Dinh-
AuthorVilla, Nathalie-
AuthorRossi, Fabrice-
Date2008-
Other Identifierhttp://arxiv.org/abs/0805.1374-
URIhttps://www.amad.org/jspui/handle/123456789/71701-
DescriptionThis paper briefly presents several ways to understand the organization of a large social network (several hundreds of persons). We compare approaches coming from data mining for clustering the vertices of a graph (spectral clustering, self-organizing algorithms. . .) and provide methods for representing the graph from these analysis. All these methods are illustrated on a medieval social network and the way they can help to understand its organization is underlined.-
Languageunknown-
KeywordsStatistics - Applications-
KeywordsPhysics - Physics and Society-
KeywordsMathematics - Statistics Theory-
Dewey Decimal Classification940-
TitleMining a medieval social network by kernel SOM and related methods-
Typetext-
AMAD ID567533-
Year2008-
Open Access1-
Appears in Collections:BASE (Bielefeld Academic Search Engine)
General history of Europe


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