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Data and source code for the paper "How choosing random-walk model and network representation matters for flow-based community detection in hypergraphs"

Home Page: https://doi.org/10.1038/s42005-021-00634-z

License: MIT License

Python 13.26% TeX 38.56% Makefile 0.50% Jupyter Notebook 42.49% Rust 5.18%
community-detection hypergraphs infomap

mapping-hypergraphs's Introduction

Mapping flows on hypergraphs

Requirements

Requirements are specified in the included Pipfile:

  • Python 3.8
  • Infomap Python package 1.3.0

Install with pipenv:

pipenv install

Running

Main entrypoint is in hypergraph/main.py.

Activate the environment with

pipenv shell

Then, run the code

python -m hypergraph --help

See the Makefile for example usage.

Author

Anton Eriksson

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