Statistics – Applications
Scientific paper
2008-05-09
MASHS 2008 (Mod\`eles et Apprentissages en Sciences Humaines et Sociales), Cr\'eteil : France (2008)
Statistics
Applications
Scientific paper
This 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.
Rossi Fabrice
Truong Quoc-Dinh
Villa Nathalie
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