Artículo
Cascading failures in complex networks
Valdez, Lucas Daniel
; Shekhtman, Louis; la Rocca, Cristian Ernesto
; Zhang, Xin; Buldyrev, Sergey V.; Trunfio, Paul A; Braunstein, Lidia Adriana; Havlin, Shlomo
Fecha de publicación:
04/2020
Editorial:
Oxford University Press
Revista:
Journal of Complex Networks
ISSN:
2051-1310
e-ISSN:
2051-1329
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Cascading failure is a potentially devastating process that spreads on real-world complex networks and can impact the integrity of wide-ranging infrastructures, natural systems and societal cohesiveness. One of the essential features that create complex network vulnerability to failure propagation is the dependency among their components, exposing entire systems to significant risks from destabilizing hazards such as human attacks, natural disasters or internal breakdowns. Developing realistic models for cascading failures as well as strategies to halt and mitigate the failure propagation can point to new approaches to restoring and strengthening real-world networks. In this review, we summarize recent progress on models developed based on physics and complex network science to understand the mechanisms, dynamics and overall impact of cascading failures. We present models for cascading failures in single networks and interdependent networks and explain how different dynamic propagation mechanisms can lead to an abrupt collapse and a rich dynamic behaviour. Finally, we close the review with novel emerging strategies for containing cascades of failures and discuss open questions that remain to be addressed.
Palabras clave:
CASCADING FAILURES
,
COMPLEX NETWORKS
,
SPATIAL NETWORKS
,
NETWORK OF NETWORKS
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Colecciones
Articulos(IFIMAR)
Articulos de INST.DE INVESTIGACIONES FISICAS DE MAR DEL PLATA
Articulos de INST.DE INVESTIGACIONES FISICAS DE MAR DEL PLATA
Citación
Valdez, Lucas Daniel; Shekhtman, Louis; la Rocca, Cristian Ernesto; Zhang, Xin; Buldyrev, Sergey V.; et al.; Cascading failures in complex networks; Oxford University Press; Journal of Complex Networks; 8; 2; 4-2020
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