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A network model generated from the recursive graph based on polygon

机译:基于多边形的递归图生成的网络模型

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The study of network models is one of the most challenging research fields among the studies of complex networks, which have been the hot research topics in recent decades. In this paper, we construct a deterministic network by a mapping method based on a recursive graph, and analyze its topological characteristics, including degree distribution, clustering coefficient, network diameter, average path length and degree correlations. We obtain that this network has the small-world property and positive correlation. The network modeling as we present gives a new perspective on networks, and helps to understand better the evolutions of the real-life systems, making it possible to explore the complexity of complex systems.
机译:网络模型的研究是复杂网络研究中最具挑战性的研究领域之一,近几十年来一直是研究热点。本文通过基于递归图的映射方法构造确定性网络,并分析其拓扑特征,包括度分布,聚类系数,网络直径,平均路径长度和度相关性。我们得到该网络具有小世界性质和正相关性。我们目前介绍的网络建模为网络提供了新的视角,并有助于更好地了解现实生活中的系统的发展,从而有可能探索复杂系统的复杂性。

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