Motif-Based Spectral Clustering of Weighted Directed Networks
Project description
A Python 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 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.
Installation
pip install motifcluster
Dependencies
Networkx
Numpy
Scipy
Scikit-learn
Documentation
Documentation for the motifcluster package is available on Read the Docs, and also on GitHub in the doc directory.
Tutorial
A tutorial for the motifcluster package is available on Github in the tutorial directory.
Links
Source code repository on GitHub
Package index page on PyPI
Documentation on Read the Docs
Project details
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