Cargando…
Machine learning dismantling and early-warning signals of disintegration in complex systems
From physics to engineering, biology and social science, natural and artificial systems are characterized by interconnected topologies whose features – e.g., heterogeneous connectivity, mesoscale organization, hierarchy – affect their robustness to external perturbations, such as targeted attacks to...
Autores principales: | Grassia, Marco, De Domenico, Manlio, Mangioni, Giuseppe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408155/ https://www.ncbi.nlm.nih.gov/pubmed/34465786 http://dx.doi.org/10.1038/s41467-021-25485-8 |
Ejemplares similares
-
Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms
por: Artime, Oriol, et al.
Publicado: (2020) -
Early warning signals of recovery in complex systems
por: Clements, Christopher F., et al.
Publicado: (2019) -
Dismantling the AA machine: antiproton accumulator
por: Laurent Guiraud
Publicado: (1997) -
LEP Dismantling Project
por: Poole, John, et al.
Publicado: (2001) -
Dismantling of the LEP Magnet System
por: Hans, O
Publicado: (2002)