A Stochastic Block Model for Multilevel Networks
Compare two clustering with the Adjusted Rand Index
Title
Extract model coefficients
An R6 Class object, a fitted multilevel network once $dovem() is done
An R6 Class object for unilevel network
Perform a Hierarchical Clustering
Merge a list of clusters
R6Class for multilevel object
Create a MLVSBM object from observed data
Infer a multilevel network (MLVSBM object), the original object is mod...
Compute the complete log likelihood of a multilevel network for a give...
Create a simulated multilevel network (MLVSBM object)
Pipe operator
Multilevel SBM Plot
Model Predictions
Simulation an adjacency matrix
Simulate of matrix of affiliation
Perform a spectral clustering
Merge a list of clusters
Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.
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