%0 Journal Article
%T Mining a medieval social network by kernel SOM and related methods
%A Nathalie Villa
%A Fabrice Rossi
%A Quoc-Dinh Truong
%J Mathematics
%D 2008
%I arXiv
%X 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.
%U http://arxiv.org/abs/0805.1374v1