A port of James D. Wilson's Multilayer Network Community Extraction package in R to Python. This version keeps the function calls very similar to the R calls, and attempts to use similar data structures to keep accurate results through the process.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

This module uses NetworkX over iGraph for the graph manipulations. Aside from this, only commonly used Python modules are used.

pip3 install numpy
pip3 install pandas
pip3 install networkx

A step by step series of examples that tell you how to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Explain how to run the automated tests for this system

Explain what these tests test and why

Give an example

Explain what these tests test and why

Give an example

Add additional notes about how to deploy this on a live system

• NetworkX - The graph engine used

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

We use SemVer for versioning. For the versions available, see the tags on this repository.

• Conor Falvey - Python Module - GitHub LinkedIn
• James D. Wilson - R package and Paper - GitHub LinkedIn

This project is licensed under the MIT License - see the LICENSE.md file for details

• Hat tip to anyone whose code was used
• Inspiration
• etc