Optimal shattering of complex networks
arXiv:1912.04044 · doi:10.1007/s41109-019-0205-5
Abstract
We consider optimal attacks or immunization schemes on different models of random graphs. We derive bounds for the minimum number of nodes needed to be removed from a network such that all remaining components are fragments of negligible size. We obtain bounds for different regimes of random regular graphs, Erdős-Rényi random graphs, and scale free networks, some of which are tight. We show that the performance of attacks by degree is bounded away from optimality. Finally we present a polynomial time attack algorithm and prove its optimal performance in certain cases.
References in corpus (12)
- Error and attack tolerance of complex networks
- Network robustness and fragility: Percolation on random graphs
- Resilience of the Internet to random breakdowns
- Breakdown of the Internet under intentional attack
- Influence maximization in complex networks through optimal percolation
- Network dismantling
- Generalized Network Dismantling
- Identifying optimal targets of network attack by belief propagation
- Optimal percolation on multiplex networks
- Measuring network resilience through connection patterns
- Sequential Defense Against Random and Intentional Attacks in Complex Networks
- Graph Partitioning Induced Phase Transitions