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arXiv 1802.03992physics.soc-phcond-mat.dis-nncs.SI
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有针对性地破坏相互依赖的网络

Targeted Damage to Interdependent Networks

G. J. Baxter, G. Timár, J. F. F. Mendes

摘要:

一个相互依赖或多路网络的巨互连组件(GMCC)崩溃与不连续的混合过渡随机损坏的网络。如果以有针对性的方式选择要损坏的节点,则GMCC的崩溃可能会明显更快地发生。寻找破坏给定相互依赖网络的最大相互连接组件的最小损伤集是一个计算上禁止的同时优化问题。我们引入了一个简单的启发式策略-有效的多重度-有针对性的攻击相互依赖的网络,利用多重网络中固有的间接损害,以实现比任何其他非计算密集型算法发现的损害集更小。我们表明,从单层网络的直觉,decycling(损坏的$2$ -核心)是最有效的方式来摧毁巨人的组成部分,不结转到相互依赖的网络,事实上,这种方法比简单地删除最高程度的节点。

英文摘要:

The giant mutually connected component (GMCC) of an interdependent or multiplex network collapses with a discontinuous hybrid transition under random damage to the network. If the nodes to be damaged are selected in a targeted way, the collapse of the GMCC may occur significantly sooner. Finding the minimal damage set which destroys the largest mutually connected component of a given interdependent network is a computationally prohibitive simultaneous optimization problem. We introduce a simple heuristic strategy -- Effective Multiplex Degree -- for targeted attack on interdependent networks that leverages the indirect damage inherent in multiplex networks to achieve a damage set smaller than that found by any other non computationally intensive algorithm. We show that the intuition from single layer networks that decycling (damage of the $2$-core) is the most effective way to destroy the giant component, does not carry over to interdependent networks, and in fact such approaches are worse than simply removing the highest degree nodes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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