maelfabien / NetworkDisruption

Re-implementing "Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia"

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Sicilian Mafia Network Distruption

Re-implementation and further exploration of the paper: "Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia". The project offers two anonymized real-world datasets of the Sicilian Mafia: physical meetings and phone calls.

The notebook contains a network exploration and techniques to disrupt the network by taking down specific nodes.

I wrote an article on this work on my personal blog: https://maelfabien.github.io/machinelearning/sicilian/#

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Reference to the paper and the dataset:

@misc{cavallaro2020disrupting, title={Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia}, author={Lucia Cavallaro and Annamaria Ficara and Pasquale De Meo and Giacomo Fiumara and Salvatore Catanese and Ovidiu Bagdasar and Antonio Liotta}, year={2020}, eprint={2003.05303}, archivePrefix={arXiv}, primaryClass={cs.SI} }

[1] Cavallaro, L., and Ficara, A., and De Meo, P., and Fiumara, G., and Catanese, S., and Bagdasar, O., and Liotta, A. (2020). Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia. http://arxiv.org/abs/2003.05303v1

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Re-implementing "Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia"


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