Motif-Based Spectral Clustering of Weighted Directed Networks
A Python package for motif-based spectral clustering of weighted directed networks.
The motifcluster package provides implementations of motif-based spectral clustering of weighted directed networks in Python. 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.
pip install motifcluster
Documentation for the motifcluster package is available on Read the Docs.
A tutorial for the motifcluster package is available on Github in the tutorial directory.
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