Department of Physics, Yeshiva University, 500 West 185th Street, New York, New York 10033, USA.
Nature. 2010 Apr 15;464(7291):1025-8. doi: 10.1038/nature08932.
Complex networks have been studied intensively for a decade, but research still focuses on the limited case of a single, non-interacting network. Modern systems are coupled together and therefore should be modelled as interdependent networks. A fundamental property of interdependent networks is that failure of nodes in one network may lead to failure of dependent nodes in other networks. This may happen recursively and can lead to a cascade of failures. In fact, a failure of a very small fraction of nodes in one network may lead to the complete fragmentation of a system of several interdependent networks. A dramatic real-world example of a cascade of failures ('concurrent malfunction') is the electrical blackout that affected much of Italy on 28 September 2003: the shutdown of power stations directly led to the failure of nodes in the Internet communication network, which in turn caused further breakdown of power stations. Here we develop a framework for understanding the robustness of interacting networks subject to such cascading failures. We present exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks. Surprisingly, a broader degree distribution increases the vulnerability of interdependent networks to random failure, which is opposite to how a single network behaves. Our findings highlight the need to consider interdependent network properties in designing robust networks.
复杂网络已经被深入研究了十年,但研究仍然集中在单一、非交互网络的有限情况下。现代系统是相互耦合的,因此应该被建模为相互依存的网络。相互依存网络的一个基本性质是,一个网络中的节点故障可能导致其他网络中的依赖节点故障。这种情况可能会递归发生,并可能导致一连串的故障。事实上,一个网络中非常小比例的节点的故障可能导致几个相互依存的网络系统的完全崩溃。一个灾难性的现实世界的故障级联(“并发故障”)的例子是 2003 年 9 月 28 日影响意大利大部分地区的电力中断:发电站的关闭直接导致互联网通信网络中的节点故障,这反过来又导致更多的发电站故障。在这里,我们为理解易受此类级联故障影响的交互网络的鲁棒性开发了一个框架。我们提出了用于理解相互依存网络的精确解析解,在这些网络中,当去除一定比例的节点时,将会导致故障级联和两个相互依存网络的完全崩溃。令人惊讶的是,更广泛的度分布增加了相互依存网络对随机故障的脆弱性,这与单个网络的行为相反。我们的发现强调了在设计鲁棒网络时需要考虑相互依存网络的特性。