Feb 27, 2020 · The dynamic response describes if the system can bounce back from undesirable to a desirable state over time. Second, we show that the rate ...
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Simulation results show how the network resilience changes along with the number of disturbed nodes and the node attack intensity. The relationship between the ...
Abstract—Resilience, the ability of the system to withstand disruption and return to a normal state quickly, is an important.
Jan 4, 2022 · Predicting resilience starts by mapping the system as a network, a graph in which the players (an animal, neuron, power station) are connected ...
B. Resilience of Networks: An attack on a network is aimed at interrupting the flow of information in the network. The efficiency of the network in transmitting ...
However, a method to estimate the resilience of an individual node within an arbitrarily large complex network governed by non-linear dynamics is still lacking.
To analyze how the resilience of nodes effects on that of the system, both random and three types of intentional attacks are simulated on nodes of both ...
Feb 11, 2020 · Resilience describes a system's ability to adjust its activity to retain the basic functionality when errors or failures occur in components ...
The node resilience and edge resilience by using matrix theory are proposed. ... Two indicators are synthesized to measure the resilience of the entire network.
This paper addresses network motifs as a mechanism for understanding resilience of such networks. The significance of this work can be viewed through an ...