motifcluster
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. These methods are based on those described in [Underwood, Elliott and Cucuringu, 2020], which is available at arxiv:2004.01293.
Installation
From PyPI:
pip install motifcluster
With conda:
conda install -c conda-forge motifcluster
Dependencies
Networkx
Numpy
Scipy
Scikit-learn
Documentation
Documentation for the motifcluster package is available on Read the Docs.
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
Metadata
Release files for motifcluster 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| motifcluster-0.2.3.tar.gz | 131.1 kB | Without provenance | Details for motifcluster-0.2.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| motifcluster-0.2.3-py3-none-any.whl | Python 3 | none | any | Details for motifcluster-0.2.3-py3-none-any.whl |
Total release size: 159.2 kB
Release files / motifcluster-0.2.3.tar.gz
| Download URL | motifcluster-0.2.3.tar.gz |
|---|---|
| Size | 131.1 kB |
| Tags | Source |
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No |
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twine/4.0.0 CPython/3.10.8
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Release files / motifcluster-0.2.3-py3-none-any.whl
| Download URL | motifcluster-0.2.3-py3-none-any.whl |
|---|---|
| Size | 28.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.10.8
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Security for motifcluster 0.2.3
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