Some New Statistics on Determine Network Models

Jing Su, Fei Ma, B. Yao, Ming Yao
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Abstract

In order to make it easier to study the scale-free nature of the complex network, and to explore the topological structures of networks by mathematical methods. There are many successful mathematical methods shown in scale-free networks that are forming branches of mathematics and network science. We are motivated from the cumulative degree distribution and edge cumulative degree distribution of scale-free networks, re-designed several new methods of cumulative distribution to depict the networks. In this paper, two known networks as an example to illustrate, and prove the equivalence of several new formula, provides more methods for future research.
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关于确定网络模型的一些新统计
为了便于研究复杂网络的无标度性质,并利用数学方法探索网络的拓扑结构。在无标度网络中展示了许多成功的数学方法,这些方法正在形成数学和网络科学的分支。我们从无标度网络的累积度分布和边缘累积度分布出发,重新设计了几种新的累积分布方法来描述无标度网络。本文以两个已知网络为例加以说明,并证明了几个新公式的等价性,为今后的研究提供了更多的方法。
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