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Robustness of coupled networks with multiple support from functional components at different scales.
Dong, Gaogao; Sun, Nannan; Yan, Menglong; Wang, Fan; Lambiotte, Renaud.
Afiliación
  • Dong G; School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China.
  • Sun N; Emergency Management Institute, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China.
  • Yan M; Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems, Nanjing Normal University, Zhenjiang 210023, Jiangsu, People's Republic of China.
  • Wang F; School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China.
  • Lambiotte R; School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China.
Chaos ; 34(4)2024 Apr 01.
Article en En | MEDLINE | ID: mdl-38579147
ABSTRACT
Robustness is an essential component of modern network science. Here, we investigate the robustness of coupled networks where the functionality of a node depends not only on its connectivity, here measured by the size of its connected component in its own network, but also the support provided by at least M links from another network. We here develop a theoretical framework and investigate analytically and numerically the cascading failure process when the system is under attack, deriving expressions for the proportion of functional nodes in the stable state, and the critical threshold when the system collapses. Significantly, our results show an abrupt phase transition and we derive the minimum inner and inter-connectivity density necessary for the system to remain active. We also observe that the system necessitates an increased density of links inside and across networks to prevent collapse, especially when conditions on the coupling between the networks are more stringent. Finally, we discuss the importance of our results in real-world settings and their potential use to aid decision-makers design more resilient infrastructure systems.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos