Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-01-07
A. E. Motter, Phys. Rev. Lett. 93, 098701 (2004)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 2 figures, Revtex
Scientific paper
10.1103/PhysRevLett.93.098701
Complex networks with heterogeneous distribution of loads may undergo a global cascade of overload failures when highly loaded nodes or edges are removed due to attacks or failures. Since a small attack or failure has the potential to trigger a global cascade, a fundamental question regards the possible strategies of defense to prevent the cascade from propagating through the entire network. Here we introduce and investigate a costless strategy of defense based on a selective further removal of nodes and edges, right after the initial attack or failure. This intentional removal of network elements is shown to drastically reduce the size of the cascade.
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