Heide Dominik, Schäfer Mirko, Greiner Martin
Frankfurt Institute for Advanced Studies and Frankfurt International Graduate School for Science, Johann Wolfgang Goethe Universität, Ruth-Moufang-Strasse 1, D-60438 Frankfurt am Main, Germany.
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 May;77(5 Pt 2):056103. doi: 10.1103/PhysRevE.77.056103. Epub 2008 May 8.
Fluctuating fluxes on a complex network lead to load fluctuations at the vertices, which may cause them to become overloaded and to induce a cascading failure. A characterization of the one-point load fluctuations is presented, revealing their dependence on the nature of the flux fluctuations and on the underlying network structure. Based on these findings, an alternate robustness layout of the network is proposed. Taking load correlations between the vertices into account, an analytical prediction of the probability for the network to remain fully efficient is confirmed by simulations. Compared to previously proposed mean-flux layouts, the alternate layout comes with significantly less investment costs in the high-confidence limit.
复杂网络上的波动通量会导致节点处的负载波动,这可能会使节点过载并引发级联故障。本文给出了单点负载波动的特征描述,揭示了它们对通量波动性质和底层网络结构的依赖性。基于这些发现,提出了一种网络的替代鲁棒性布局。考虑到节点之间的负载相关性,通过模拟证实了对网络保持完全高效概率的解析预测。与先前提出的平均通量布局相比,在高置信度极限下,替代布局的投资成本显著降低。