Fractality and scale-free effect of a class of self-similar networks

Fractality and scale-free effect of a class of self-similar networks
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一类自相似网络的分形性和无标度效应

DOI:
10.1016/j.physa.2017.02.049
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发表时间:
2017-07
影响因子:
3.3
通讯作者:
Wang Qin
Wang Qin
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Xi Lifeng;Wang Lihong;Wang Songjing;Yu Zhouyu;Wang Qin

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给定一个初始有向图作为自相似模式,并固定模式中的两个节点,用模式的初始图替换任意有向边,用有向边的端点识别模式的固定节点,从而实现了对模式的初始图的自动化.通过一次又一次的迭代,我们得到了一族增长的自相似网络。将这些网络修改为无向网络,我们得到了增长的自相似无向网络。我们得到了我们的自相似网络的分形,并找到了无标度效应的矩阵相关的两个固定的节点在初始图。
In this paper, given an initial directed graph as a self-similar pattern and fix two nodes in the pattern, we can iterate the graph by replacing any directed edge with the initial graph of pattern and identifying the fixed nodes of pattern with the endpoints of directed edge. Using the iteration again and again, we obtain a family of growing self-similar networks. Modify these networks to be undirected ones, we obtain growing self-similar undirected networks. We obtain the fractality of our self-similar networks and find out the scale-free effect in terms of the matrix related to two fixed nodes in the initial graph.
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