Cluster based simulations of Scale-Free Network Immunization Strategies

摘要

The paper propose a model for complex networks with scale-free degree distribution in which the fraction of sites having k connections follows a power law: P(k)=k{sup}λ. By studying the percolation in such a scale-free model it was established that in the regime 2<λ<3 the networks are resilient to random breakdown. By computing the percolation critical exponents and the resilience to attacks of the scale free networks it was possible to show a similitude between the methods to fight against worms in computer networks and the procedures for immunization against the spread of diseases in social environments. SFN based strategies for stopping an epidemic spread were taken into consideration for testing in a computer cluster based environment.