Cascading failures with local load redistribution in interdependent Watts-Strogatz networks

Cascading failures of loads in isolated networks have been studied extensively over the last decade. Since 2010, such research has extended to interdependent networks. In this paper, we study cascading failures with local load redistribution in interdependent Watts–Strogatz (WS) networks. The effect...

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Detalles Bibliográficos
Autores: Hong, Chen, Zhang, Jun, Du, Wen-Bo, Sallán Leyes, José María|||0000-0002-4835-0152, Lordan González, Oriol|||0000-0002-7376-5253
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/91207
Acceso en línea:https://hdl.handle.net/2117/91207
https://dx.doi.org/10.1142/S012918311650131X
Access Level:acceso abierto
Palabra clave:Network analysis (Planning)
System analysis
Cascading failures
Watts-Strogatz network
interdependent networks
Anàlisi de xarxes (Planificació)
Anàlisi de sistemes
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
Descripción
Sumario:Cascading failures of loads in isolated networks have been studied extensively over the last decade. Since 2010, such research has extended to interdependent networks. In this paper, we study cascading failures with local load redistribution in interdependent Watts–Strogatz (WS) networks. The effects of rewiring probability and coupling strength on the resilience of interdependent WS networks have been extensively investigated. It has been found that, for small values of the tolerance parameter, interdependent networks are more vulnerable as rewiring probability increases. For larger values of the tolerance parameter, the robustness of interdependent networks firstly decreases and then increases as rewiring probability increases. Coupling strength has a different impact on robustness. For low values of coupling strength, the resilience of interdependent networks decreases with the increment of the coupling strength until it reaches a certain threshold value. For values of coupling strength above this threshold, the opposite effect is observed. Our results are helpful to understand and design resilient interdependent networks.