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Basalyga, G. & Salinas, E. When response variability increases neural network robustness to synaptic noise.
Schieber, T. A. et al. Information theory perspective on network robustness.
Network robustness to fragmentation and disturbance was also assessed.
Callaway, D. S., Newman, M. E. J., Strogatz, S. H. & Watts, D. J. Network robustness and fragility: Percolation on random graphs.
Blank, L. M., Kuepfer, L. & Sauer, U. Large-scale 13C-flux analysis reveals mechanistic principles of metabolic network robustness to null mutations in yeast.
Therefore, this paper aims at maximizing the Laplacian energy to enhance network robustness.
In addition, a critical value that attacking information accuracy affects the network robustness is observed.
Redundant sensor nodes are often deployed to increase network robustness and extend network lifetime.
Guidelines on improving the network robustness against such attacks are presented as well.
Network robustness has been a hot research area of studies on complex networks.
There are also some very logical topics that it could tackle, ranging from data privacy to network robustness to public health interventions.
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