Machine learning dismantling and early-warning signals of disintegration in complex systems

Network dismantling allows to find minimum set of units attacking which leads to system’s break down. Grassia et al. propose a deep-learning framework for dismantling of large networks which can be used to quantify the vulnerability of networks and detect early-warning signals of their collapse.

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Auteurs principaux: Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/d88cb98dfb5a4142bb8c845ae4d9a08b
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