Optimization of Network Robustness to Waves of Targeted and Random Attack
T. Tanizawa, G. Paul, R. Cohen, S. Havlin, H. E. Stanley
Abstract
We study the robustness of complex networks to multiple waves of simultaneous (i) targeted attacks in which the highest degree nodes are removed and (ii) random attacks (or failures) in which fractions pt and pr respectively of the nodes are removed until the network collapses. We find that the network design which optimizes network robustness has a bimodal degree distribution, with a fraction r of the nodes having degree k2= ( - 1 +r)/r and the remainder of the nodes having degree k1=1, where is the average degree of all the nodes. We find that the optimal value of r is of the order of pt/pr for pt/pr 1.
Create a lesson
Related papers
Towards synergy between theory and experiments: First-passage processes under resetting with stochastic return protocols
Ashutosh Dubey, Arnab Pal
Emergent Loop Geometry in Gauge-Equivariant Graph Neural Networks
Ali Rayat, Gia-Wei Chern
Extending the mean first-passage-time formalism to the reconstruction of high free-energy barriers: A top-start approach
Ying Jiang, Ivan Saika-Voivod
Exact Microscopic One-Body Reduction in the Symmetric Exclusion Process
Olivier Bénichou, Aurélien Grabsch
Macroscopic fluctuation theory of stochastic systems undergoing monitoring
João Costa, Pedro Ribeiro, Andrea De Luca
Charge-selective topological locking and ultraslow coarsening in magnetoelastic media
Tirthankar Banerjee, Amaresh Jaiswal