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ppsbm

Clustering in Longitudinal Networks

Installation

About

Stochastic block model used for dynamic graphs represented by Poisson processes. To model recurrent interaction events in continuous time, an extension of the stochastic block model is proposed where every individual belongs to a latent group and interactions between two individuals follow a conditional inhomogeneous Poisson process with intensity driven by the individuals’ latent groups. The model is shown to be identifiable and its estimation is based on a semiparametric variational expectation-maximization algorithm. Two versions of the method are developed, using either a nonparametric histogram approach (with an adaptive choice of the partition size) or kernel intensity estimators. The number of latent groups can be selected by an integrated classification likelihood criterion. Y. Baraud and L. Birgé (2009). doi:10.1007/s00440-007-0126-6. C. Biernacki, G. Celeux and G. Govaert (2000). doi:10.1109/34.865189. M. Corneli, P. Latouche and F. Rossi (2016). doi:10.1016/j.neucom.2016.02.031. J.-J. Daudin, F. Picard and S. Robin (2008). doi:10.1007/s11222-007-9046-7. A. P. Dempster, N. M. Laird and D. B. Rubin (1977). . G. Grégoire (1993). . L. Hubert and P. Arabie (1985). doi:10.1007/BF01908075. M. Jordan, Z. Ghahramani, T. Jaakkola and L. Saul (1999). doi:10.1023/A:1007665907178. C. Matias, T. Rebafka and F. Villers (2018). doi:10.1093/biomet/asy016. C. Matias and S. Robin (2014). doi:10.1051/proc/201447004. H. Ramlau-Hansen (1983). doi:10.1214/aos/1176346152. P. Reynaud-Bouret (2006). doi:10.3150/bj/1155735930.

cran.r-project.org

Key Metrics

Version 0.2.2
Published 2018-03-19 2396 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Daphné Giorgi

Authors

D. Giorgi
C. Matias
T. Rebafka
F. Villers

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

Rfast
clue
gtools
parallel