级联故障
弹性(材料科学)
模块化(生物学)
复杂网络
计算机科学
相互依存的网络
分布式计算
比例(比率)
复杂系统
聚类分析
扰动(地质)
风险分析(工程)
业务
地理
人工智能
生物
遗传学
地图学
功率(物理)
古生物学
万维网
物理
量子力学
热力学
电力系统
标识
DOI:10.1016/j.physa.2006.12.058
摘要
Our modern society has come to depend on large-scale infrastructure networks to deliver resources to our homes and businesses in an efficient manner. Over the past 10 years there have been numerous examples where a local disturbance has lead to the global failure of systems. In this paper, we use an evolutionary algorithm to evolve complex networks that are resilient to such cascading failure. We then analyze these networks for topological regularities that explain the source of such resilience. The analysis reveals that clustering, modularity and long path lengths all play an important part in the design of robust large-scale infrastructure.
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