General methodology for inferring failure-spreading dynamics in networks.

ABSTRACT: A generic modeling framework to infer the failure-spreading process based on failure times of individual nodes is proposed and tested in four simulation studies: one for cascading failures in interdependent power and transportation networks, one for influenza epidemics, one benchmark test case for congestion cascade in a transportation network, and one benchmark test case for cascading power outages. Four general failure-spreading mechanisms-external, temporal, spatial, and functional-are quantified to capture what drives the spreading of failures. With the failure time of each node given, the proposed methodology demonstrates remarkable capability of inferring the underlying general failure-spreading mechanisms and accurately reconstructing the failure-spreading process in all four simula

SUBMITTER: Guan X 

PROVIDER: S-EPMC6126715 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature