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MULTI-HOP GENERALIZED CORE PERCOLATION ON COMPLEX NETWORKS

机译:复杂网络上的多跳广义核心渗透

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Recent theoretical studies on network robustness have focused primarily on attacks by random selection and global vision, but numerous real-life networks suffer from proximity-based breakdown. Here we introduce the multi-hop generalized core percolation on complex networks, where nodes with degree less than k and their neighbors within L-hop distance are removed progressively from the network. The resulting subgraph is referred to as G(k, L)-core, extending the recently proposed Gk-core and classical core of a network. We develop analytical frameworks based upon generating function formalism and rate equation method, showing for instance continuous phase transition for G(2, 1)-core and discontinuous phase transition for G(k, L)-core with any other combination of k and L. We test our theoretical results on synthetic homogeneous and heterogeneous networks, as well as on a selection of large-scale real-world networks. This unravels, e.g., a unique crossover phenomenon rooted in heterogeneous networks, which raises a caution that endeavor to promote network-level robustness could backfire when multi-hop tracing is involved.
机译:最近对网络稳健性的理论研究主要集中在随机选择和全球视野中的攻击,但许多现实网络遭受了基于近距离的故障。在这里,我们在复杂网络上介绍了多跳广义核心渗透,其中从网络逐渐地将具有程度小于k的节点和L跳距离的邻居。得到的子图被称为G(k,l)-core,扩展了最近提出的网络的GK核心和经典核心。我们基于产生功能形式主义和速率等式方法开发分析框架,显示例如G(2,1)-core和G(k,l)的不连续相转变的连续相转变 - 与k和l的任何其他组合。我们在合成均匀和异构网络上测试我们的理论结果,以及各种大型现实网络的选择。这解除了例如在异构网络中根的独特的交叉现象,这提出了谨慎促进网络级鲁棒性在涉及多跳闸追踪时可能反馈的谨慎。

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