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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Detalles Bibliográficos
Autores principales:	Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d88cb98dfb5a4142bb8c845ae4d9a08b
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spelling	oai:doaj.org-article:d88cb98dfb5a4142bb8c845ae4d9a08b2021-12-02T15:25:36ZMachine learning dismantling and early-warning signals of disintegration in complex systems10.1038/s41467-021-25485-82041-1723https://doaj.org/article/d88cb98dfb5a4142bb8c845ae4d9a08b2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25485-8https://doaj.org/toc/2041-1723Network 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.Marco GrassiaManlio De DomenicoGiuseppe MangioniNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Marco Grassia Manlio De Domenico Giuseppe Mangioni Machine learning dismantling and early-warning signals of disintegration in complex systems
description	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.
format	article
author	Marco Grassia Manlio De Domenico Giuseppe Mangioni
author_facet	Marco Grassia Manlio De Domenico Giuseppe Mangioni
author_sort	Marco Grassia
title	Machine learning dismantling and early-warning signals of disintegration in complex systems
title_short	Machine learning dismantling and early-warning signals of disintegration in complex systems
title_full	Machine learning dismantling and early-warning signals of disintegration in complex systems
title_fullStr	Machine learning dismantling and early-warning signals of disintegration in complex systems
title_full_unstemmed	Machine learning dismantling and early-warning signals of disintegration in complex systems
title_sort	machine learning dismantling and early-warning signals of disintegration in complex systems
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d88cb98dfb5a4142bb8c845ae4d9a08b
work_keys_str_mv	AT marcograssia machinelearningdismantlingandearlywarningsignalsofdisintegrationincomplexsystems AT manliodedomenico machinelearningdismantlingandearlywarningsignalsofdisintegrationincomplexsystems AT giuseppemangioni machinelearningdismantlingandearlywarningsignalsofdisintegrationincomplexsystems
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Machine learning dismantling and early-warning signals of disintegration in complex systems

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