Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2000-10-18
Phys. Rev. Lett 86, 3682 (2001)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Latex, 4 pages, 3 eps figures
Scientific paper
10.1103/PhysRevLett.86.3682
We study the tolerance of random networks to intentional attack, whereby a fraction p of the most connected sites is removed. We focus on scale-free networks, having connectivity distribution of P(k)~k^(-a) (where k is the site connectivity), and use percolation theory to study analytically and numerically the critical fraction p_c needed for the disintegration of the network, as well as the size of the largest connected cluster. We find that even networks with a<=3, known to be resilient to random removal of sites, are sensitive to intentional attack. We also argue that, near criticality, the average distance between sites in the spanning (largest) cluster scales with its mass, M, as sqrt(M), rather than as log_k M, as expected for random networks away from criticality. Thus, the disruptive effects of intentional attack become relevant even before the critical threshold is reached.
ben-Avraham Daniel
Cohen Reuven
Erez Keren
Havlin Shlomo
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