The Random Subgraph Model

Share:

Description

Partition the vertices of a directed network with typed edges into clusters describing the connection patterns of subgraphs given as inputs. The inference is performed using a variational Bayes EM algorithm and the estimation of the number of clusters is obtained through a variational approximation of the marginal log likelihood.

Details

Package: Rambo
Type: Package
Version: 1.0
Date: 2013-06-18
License: GPL (>=2.0)

Author(s)

Yacine Jernite, Laetitia Nouedoui, Charles Bouveyron, Pierre Latouche. Maintainer: Who to complain to <yourfault@somewhere.net>

References

Yacine Jernite, Pierre Latouche, Charles Bouveyron, Patrick Rivera, Laurent Jegou and Stephane Lamasse(2012), The Random Subgraph Model for the Analysis of an Ecclesiastical Network in Merovingian Gaul, http://arxiv.org/abs/1212.5497

See Also

rsm, summary.rsm, plot.rsm

Examples

1
2
3
4
data(Regions)
res <- rsm(Regions$X, Regions$sub, Klist=2:4, nbredo=1, maxit=5) 
plot(res)
## summary(res)