Generalized theory for node disruption in finite size complex networks
arXiv:0811.0513 · doi:10.1103/PhysRevE.78.026115
Abstract
After a failure or attack the structure of a complex network changes due to node removal. Here, we show that the degree distribution of the distorted network, under any node disturbances, can be easily computed through a simple formula. Based on this expression, we derive a general condition for the stability of non-correlated finite complex networks under any arbitrary attack. We apply this formalism to derive an expression for the percolation threshold under a general attack of the form , where stands for the probability of a node of degree of being removed during the attack. We show that of a finite network of size exhibits an additive correction which scales as with respect to the classical result for infinite networks.
References in corpus (17)
- Error and attack tolerance of complex networks
- Random graphs with arbitrary degree distributions and their applications
- Network robustness and fragility: Percolation on random graphs
- Resilience of the Internet to random breakdowns
- Attack vulnerability of complex networks
- Breakdown of the Internet under intentional attack
- Immunization of complex networks
- Efficient Immunization Strategies for Computer Networks and Populations
- Cascade control and defense in complex networks
- Epidemic dynamics in finite size scale-free networks
- Invasion threshold in heterogeneous metapopulation networks
- Stability and topology of scale-free networks under attack and defense strategies
- Optimization of Network Robustness to Waves of Targeted and Random Attack
- Two-Peak and Three-Peak Optimal Complex Networks
- Information Horizons in Networks
- Optimization of robustness of scale-free network to random and targeted attacks
- Graph Partitioning Induced Phase Transitions