Mining a medieval social network by kernel SOM and related methods
Applications
2008-12-18 v1 Statistics Theory
Physics and Society
Statistics Theory
Abstract
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.
Cite
@article{arxiv.0805.1374,
title = {Mining a medieval social network by kernel SOM and related methods},
author = {Nathalie Villa and Fabrice Rossi and Quoc-Dinh Truong},
journal= {arXiv preprint arXiv:0805.1374},
year = {2008}
}