Estimation of the latent block organisation of the network

The underlying network is assumed to be drawn from a Stochastic Bloc Model. This function uses a variational EM algorithm implemented in the package blockmodels to estimate such a model.

estimate_block(adj_matrix, partition = NULL, n_blocks = NULL, n_cores = 1)

Arguments

adj_matrix	a symmetric weighted adjacency matrix
partition	a factor indicating a known partition of the variables to be respected during the clustering. If NULL (the default), to predfined partition is consider.
n_blocks	integer, the number of blocks. Default is NULL, in which case the best model in terms of ICL is returned.
n_cores	integer, the number of cores used for initializing the SBM exploration