The file functions.py contains all functions to compute the network mutual information measures for graph similarity found in the manuscript arXiv.2405.05177.
The folder data contains all data sets used in the manuscript: FAO product trades, APS scientific collaborations, and the OpenFlights continental airport networks.
The file notebook.ipynb goes through some of the results found in the manuscript, particularly the analysis over the FAO network.
The functions rely on an environment running Python 3.10, NumPy 1.26.4, and SciPy 1.13.1. To run the Jupyter Notebook file, we further needed Matploblib, pandas, NetworkX, and rbo, the versions of which can be found in the file requirements.txt.
./
├── README.md
├── data
│ ├── airports
│ ├── aps
│ └── fao
├── functions.py
├── notebook.ipynb
└── requirements.txt
If you find the code useful, consider citing:
Felippe, H., Battiston, F. & Kirkley, A. Network mutual information measures for graph similarity. Commun Phys 7, 335 (2024). https://doi.org/10.1038/s42005-024-01830-3
