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Fractal and Small-World Networks Formed by Self-Organized Critical Dynamics

机译:由自组织临界数构成的分形和小世界网络   动力学

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摘要

We propose a dynamical model in which a network structure evolves in aself-organized critical (SOC) manner and explain a possible origin of theemergence of fractal and small-world networks. Our model combines a networkgrowth and its decay by failures of nodes. The decay mechanism reflects theinstability of large functional networks against cascading overload failures.It is demonstrated that the dynamical system surely exhibits SOCcharacteristics, such as power-law forms of the avalanche size distribution,the cluster size distribution, and the distribution of the time intervalbetween intermittent avalanches. During the network evolution, fractal networksare spontaneously generated when networks experience critical cascades offailures that lead to a percolation transition. In contrast, networks far fromcriticality have small-world structures. We also observe the crossover behaviorfrom fractal to small-world structure in the network evolution.
机译:我们提出了一种动态模型,其中网络结构以自组织关键(SOC)方式演化,并解释了分形和小世界网络出现的可能起源。我们的模型结合了网络增长及其因节点故障而导致的衰落。衰减机制反映了大型功能网络对级联过载故障的不稳定性。证明了动态系统确实具有SOC特征,例如雪崩大小分布的幂律形式,簇大小分布以及间歇之间的时间间隔分布雪崩。在网络演化过程中,当网络经历严重的级联故障并导致渗滤过渡时,会自发生成分形网络。相反,远非关键的网络具有小世界结构。我们还观察了网络演化过程中从分形到小世界结构的交叉行为。

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