Motif-Based Spectral Clustering of Weighted Directed Networks

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) .

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.