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Randomness criteria in binary visibility graph and complex network perspective

机译:二进制可见度图和复杂网络视角中的随机性准则

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We introduce the binary visibility graph (BVG) for mapping random binary sequences into complex networks. Several topological aspects of the constructed graphs, such as degree distribution, clustering coefficient, and mean visibility length have been thoroughly investigated. Our simulations on the probability distributions for four sample random binary sequences (RBS) confirm the reliability of the BVG for RBS analysis. Moreover, we propose the topological properties of the graph as a randomness criteria. In this way, we have presented some possible randomness tests using BVG. A comparison has been made between these tests and National Institute of Standards and Technology (NIST) tests on four samples and the results are promising. These tests can distinguish between weak and strong RBSs.
机译:我们引入了二进制可见性图(BVG),用于将随机二进制序列映射到复杂网络中。构造图的几个拓扑方面,例如度分布,聚类系数和平均可见性长度,已被彻底研究。我们对四个样本随机二进制序列(RBS)的概率分布进行的仿真证实了BVG用于RBS分析的可靠性。此外,我们提出了图的拓扑特性作为随机性标准。通过这种方式,我们提出了一些使用BVG的可能的随机性测试。这些测试与美国国家标准技术研究院(NIST)对四个样品的测试进行了比较,结果令人鼓舞。这些测试可以区分弱RBS和强RBS。

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