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Python code to perform higher-order Laplacian renormalization of higher-order networks

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Higher-order Laplacian Renormalization

Code implementation for the paper Nurisso, M., Morandini, M., Lucas, M., Vaccarino, F., Gili, T., & Petri, G. (2024). Higher-order Laplacian Renormalization. arXiv preprint arXiv:2401.11298.

Contents

  • Scripts
    • plotting.py: functions to plot 2-dimensional simplicial complexes;
    • renormalize.py: functions to compute the entropic susceptibility and renormalize simplicial complexes;
    • scomplex.py: functions to work with simplicial complexes, generate them and compute their cross-order Laplacians.
  • Notebooks: jupyter notebooks for reproducing the paper's figures.
  • Data: datasets and pre-computed entropic susceptibility curves.

The code was tested for Python 3.11 and the dependencies specified in requirements.txt.

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Python code to perform higher-order Laplacian renormalization of higher-order networks

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