MotifCluster
A Julia 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 Julia. 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
From the Julia General registry:
] add MotifClusterDependencies
- Aqua
- Clustering
- Distributions
- Graphs
Documentation
Documentation for the MotifCluster package is available on the web.
Tutorial
A tutorial for the MotifCluster package is available on Github in the tutorial directory.
Authors
- William George Underwood, Princeton University (maintainer)
- Andrew Elliott, The Alan Turing Institute