Hierarchical Graph Clustering for a Collection of Networks

Documentation for package ‘graphclust’ version 1.3

ARI	Adjusted Rand index
degreeSort	Sort stochastic block model parameter in a unique way using its graphon
fitSBMcollection	Fit a unique stochastic block model to a collection of networks
fitSimpleSBM	Fit a stochastic block model to every network in a collection of networks.
graphClustering	Hierarchical graph clustering algorithm
graphMomentsClustering	Graph clustering method using graph moments
graphonL2norm	(squared) L2-norm of the graphons associated with two stochastic block model parameters
graphonSpectralClustering	Graph clustering using the pairwise graphon distances and spectral clustering
metagraph	Plot the metagraph of the parameter of the stochastic block model associated with one of the estimated graph clusters
moments	Computation of graph moments of a network
permutParam	Permute block labels of a stochastic block model parameter
plotDendrogram	Plot dendrogram to visualize the clustering obtained by the hierarchical clustering algorithm
rCollectSBM	Simulate a sample of networks of a stochastic block model
rMixSBM	Simulate a collection of networks of a mixture of stochastic block models
rsbm	Simulate a network of a stochastic block model
sampleDPA	generation of a network of the directed preferential attachment (DPA) model
sampleDPAMixture	Generation of a mixture of directed preferential attachment (DPA) models
sbmNorm	(squared) norm between two stochastic block models