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Gabriele Di Bona's Projects

arw icon arw

Here, we propose an adaptive random walk (ARW), which, differently from the maximum entropy random walk, maximizes dispersion by updating its transition rule on the local information collected while exploring the network. The ARW is obtained via a large-deviation representation of the MERW as a finite-time rare event of an unbiased random walk and study its dynamics on synthetic and real-world networks.

coarsenet icon coarsenet

Collaborative repository to analyse various coarse-graining methods for networks.

gutenberg icon gutenberg

Pipeline to generate the Standardized Project Gutenberg Corpus. Modifications to bookshelves

higher-order-heaps-laws icon higher-order-heaps-laws

All the necessary code and instructions to analyse datasets and model simulations for higher-order Heaps' laws.

us-patents-extractor icon us-patents-extractor

With this repository, you can download the corpus of all USPTO patents, and parse the information. Using https://github.com/USPTO/PatentPublicData to download corpus, and https://github.com/JusteRaimbault/PatentsMining to parse.

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