Description
Motif-Based Spectral Clustering of Weighted Directed Networks.
Description
Tools for spectral clustering of weighted directed networks using motif adjacency matrices. Methods perform well on large and sparse networks, and random sampling methods for generating weighted directed networks are also provided. Based on methodology detailed in Underwood, Elliott and Cucuringu (2020) <arXiv:2004.01293>.
README.md
motifcluster 
An R package for motif-based spectral clustering of weighted directed networks.
Introduction
The motifcluster package provides implementations of motif-based spectral clustering of weighted directed networks in R. These provide the capability for:
- Building motif adjacency matrices
- Sampling random weighted directed networks
- Spectral embedding with motif adjacency matrices
- Motif-based spectral clustering
The methods are all designed to run quickly on large sparse networks, and are easy to install and use. These methods are based on those described in [Underwood, Elliott and Cucuringu, 2020], which is available at arXiv:2004.01293.
Installation
install.packages("motifcluster")
Dependencies
- igraph
- Matrix
- RSpectra
Documentation
Documentation for the motifcluster package is available in the doc directory.
Vignette
An instructional vignette for the motifcluster package is available in the vignettes directory.
Author
- William George Underwood, Princeton University.