W Wei, Y Liu, W Yang - Reliability Engineering & System Safety, 2023 - Elsevier
As one realistic way to improve the robustness of network, the protection of critical links will help build resilient link structure to defend against random link failure, especially in sparse …
W Wei, P Wang, Q Zhang - Chaos, Solitons & Fractals, 2023 - Elsevier
Random failure is a common threat to a network, where the failure of a few edges can disconnect a large-scale sparse network. To enhance the robustness of network, the …
Q Li, SY Liu, XS Yang - Expert Systems with Applications, 2020 - Elsevier
Many real-world applications can be modelled as complex networks, and such networks include the Internet, epidemic disease networks, transport networks, power grids, protein …
We present two metaheuristics for the Critical Node Problem, that is, the maximal fragmentation of a graph through the deletion of nodes. The two metaheuristics are based …
In designing reliable and impermeable networks, the robustness of the network is evaluated against the removal and failure of the node or edge where the network robustness (network …
Q Liu, B Wang, J Qi, X Deng - Digital Communications and Networks, 2022 - Elsevier
Nearly all real-world networks are complex networks and usually are in danger of collapse. Therefore, it is crucial to exploit and understand the mechanisms of network attacks and …
Z Wang, Y Di - IEICE TRANSACTIONS on Information and Systems, 2022 - search.ieice.org
The objective of critical nodes problem is to minimize pair-wise connectivity as a result of removing a specific number of nodes in the residual graph. From a mathematical modeling …
An important problem in network survivability assessment is the identification of critical nodes. The distance-based critical node detection problem addresses the issues of internal …
S Shen, JC Smith - Networks, 2012 - Wiley Online Library
We examine variants of the critical node problem on specially structured graphs, which aim to identify a subset of nodes whose removal will maximally disconnect the graph. These …