dynsbm-package: Dynamic stochastic block model estimation

In dynsbm: Dynamic Stochastic Block Models

Description

Estimation of a model that combines a stochastic block model (SBM) for its static part with independent Markov chains for the evolution of the nodes groups through time

Details

dynsbm is a R implementation of a model that combines a stochastic block model (SBM) for its static part with independent Markov chains for the evolution of the nodes groups through time. It deals with binary or weighted dynamic/temporal/evolving networks (with discrete or continuous edges).

Author(s)

Authors: Catherine Matias, Vincent Miele

Maintainer: Vincent Miele <[e-mail]>

References

Catherine Matias and Vincent Miele, Statistical clustering of temporal networks through a dynamic stochastic block model, Journal of the Royal Statistical Society: Series B (2017) http://dx.doi.org/10.1111/rssb.12200 http://arxiv.org/abs/1506.07464

Vincent Miele and Catherine Matias, Revealing the hidden structure of dynamic ecological networks, Royal Society Open Science (2017) http://dx.doi.org/10.1098/rsos.170251 https://arxiv.org/abs/1701.01355

dynsbm documentation built on March 26, 2020, 7:33 p.m.