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Mining a medieval social network by kernel SOM and related methods

Nathalie Villa 1, * Fabrice Rossi 2 Quoc-Dinh Truong 3
* Corresponding author
2 AxIS - Usage-centered design, analysis and improvement of information systems
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt
3 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
IRIT - Institut de recherche en informatique de Toulouse
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.
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Contributor : Nathalie Vialaneix <>
Submitted on : Friday, May 9, 2008 - 12:52:08 PM
Last modification on : Sunday, June 14, 2020 - 3:29:08 AM
Long-term archiving on: : Friday, May 28, 2010 - 6:53:03 PM


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  • HAL Id : hal-00278196, version 1
  • ARXIV : 0805.1374


Nathalie Villa, Fabrice Rossi, Quoc-Dinh Truong. Mining a medieval social network by kernel SOM and related methods. MASHS 2008 (Modèles et Apprentissages en Sciences Humaines et Sociales), Jun 2008, Créteil, France. ⟨hal-00278196⟩



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