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Results of Belief Propagation for Epidemic Inference [BPEpI]

Repository contanings the notebooks and codes to reproduce the results presented in the paper: "Bayes-optimal inference for spreading processes on random networks"

BPEpI

To be able to reproduce the simulations, it is required to install the BPEpI package (see the BPEpI repo) For an example of how to use the code, see the introductory notebook demo.ipynb.

Analysys

Inside the folder Analysys we put the Python code necessary to reproduce our simulations

Figures

The folder Figures contains all the Jupyter notebooks necessary to reproduce the Figures in the paper, given the data

Data

The folder Data contains all the data frames, compressed in .xz format, which are needed to run the notebooks in the folder Figures

Plots

The folder Plots contains all the plots of the paper, obtained directly from the notebooks present in the folder Figures.