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Code associated with the paper: "Reducibility of higher-order networks via information flow" by M. Lucas, L. Gallo, A. Ghavasieh, F. Battiston, and M. De Domenico.

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Reducibility of higher-order networks via information flow

DOI

This repository contains the code used for the analysis presented in the paper:
"Reducibility of higher-order networks via information flow",
by M. Lucas, L. Gallo, A. Ghavasieh, F. Battiston, and M. De Domenico
arXiv:2404.08547 (2024)

Fig. 1: Pipeline

Fig. 4. Empirical datasets show different levels of reducibility

Contents

  • notebooks/: notebooks used to produce the figures and simple simulations
  • src/: modules with functions used in the notebooks and heavier simulation scripts
  • results/: simulation outputs saved for plotting

Dependencies

The code was tested for Python 3.9 and the dependencies specified in requirements.txt.

In particular, the code relies on the XGI library.

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Code associated with the paper: "Reducibility of higher-order networks via information flow" by M. Lucas, L. Gallo, A. Ghavasieh, F. Battiston, and M. De Domenico.

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