Mining a medieval social network by kernel SOM and related methods

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dc.creatorVilla, Nathalie
dc.creatorRossi, Fabrice
dc.creatorTruong, Quoc-Dinh
dc.date2008-05-09
dc.date.accessioned2026-07-07T12:18:49Z
dc.date.available2026-07-07T12:18:49Z
dc.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.
dc.identifierhttps://arxiv.org/abs/0805.1374
dc.identifierhttp://arxiv.org/abs/0805.1374
dc.identifierMASHS 2008 (Modèles et Apprentissages en Sciences Humaines et Sociales), Créteil : France (2008)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212542
dc.subjectApplications
dc.subjectStatistics Theory
dc.subjectPhysics and Society
dc.titleMining a medieval social network by kernel SOM and related methods
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