wmixnet (Analyse de réseaux)


wmixnet is a implementation of Variationnal EM estimation on Stochastic Block Model Graphs for various prbabilities laws.

Clustering the nodes of a graph allows the analysis of the topology of a network.

The stochastic block model is a clustering method based on a probabilistic model. Initially developed for binary networks it has recently been extended to valued networks possibly with covariates on the edges.

We present an implementation of a variational EM algorithm. It is written using C++, parallelized, available under a GNU General Public License (version 3), and can select the optimal number of clusters using the ICL criteria. It allows us to analyze networks with ten thousand nodes in a reasonable amount of time.


Informations spécifiques
Langage(s) de développement
C++
Langage(s) d'interface
C++
N° de version courante
V0.2.4
Type de licence


Porteur(s)
Unité
MIA-Paris
Auteur(s)
Leger Jean-Benoist
Barbillon Pierre
Contact
leger@jblg.fr


Informations complémentaires

L’auteur n’est plus à l’Inra, certains liens sont morts.

 

 

Système d'information scientifique MIA classé par unité (UR, UMR)

Logo BIOSP     Logo MISTEA     Logo MIA Toulouse     Logo MaIAGE     Logo MIA Paris