Luca Brusa · Catherine Matias
The HyperSBM package contains functions to specify and fit Stochastic Blockmodel for hypergraphs. It allows performing model-based clustering when the relationship among nodes are not limited to pairwise interactions (edges in graphs), but include higher-order interactions among three or more nodes (hyperedges).
The main function relies on a variational implementation of the expectation-maximization algorithm to perform model parameters and latent groups estimation.
It also provides tools for generating hypergraphs according to a simplified latent structure (affiliation sub-model). See the package documentation for a more detailed description of all functions.
To install the HyperSBM package directly from GitHub:
# install.packages("devtools")
require(devtools)
devtools::install_github("LB1304/HyperSBM")To download the .tar.gz file (for manual installation) use this link.
You will find examples of use at this link.
The main functions of the package are sample_Hypergraph (to generate data under the model), import_Hypergraph (to import your dataset), and HSBM (to estimate the model parameters). More on the options is accessible with the commands
help("sample_Hypergraph")
help("import_Hypergraph")
help("HSBM")