华南理工大学学报(自然科学版) ›› 2017, Vol. 45 ›› Issue (6): 1-7.doi: 10.3969/j.issn.1000-565X.2017.06.001

• 物理学 •    下一篇

基于彭罗斯拼图的部分随机复杂网络的统计性质

傅秀军 彭彩霞 段雪晴   

  1. 华南理工大学 物理与光电学院,广东 广州 510640
  • 收稿日期:2016-01-18 修回日期:2016-11-19 出版日期:2017-06-25 发布日期:2017-05-02
  • 通信作者: 傅秀军(1964-),男,博士,教授,主要从事准晶体研究. E-mail:phxjfu@scut.edu.cn
  • 作者简介:傅秀军(1964-),男,博士,教授,主要从事准晶体研究.
  • 基金资助:

    国家自然科学基金资助项目(11674102)

Statistical Properties of Partially Random Complex Network Based on Penrose Tiling

FU Xiu-jun PENG Cai-xia DUAN Xue-qing   

  1. School of Physics and Optoelectronics,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2016-01-18 Revised:2016-11-19 Online:2017-06-25 Published:2017-05-02
  • Contact: 傅秀军(1964-),男,博士,教授,主要从事准晶体研究. E-mail:phxjfu@scut.edu.cn
  • About author:傅秀军(1964-),男,博士,教授,主要从事准晶体研究.
  • Supported by:

     Supported by the National Natural Science Foundation of China(11674102)

摘要: 为扩展复杂网络模型并探讨网络的新特征,研究了随机复杂网络的统计性质. 在 以两种菱形为结构单元的彭罗斯拼图的基础上,增加顶点的随机连接,其连接概率与顶点 的类型有关,由此构造出部分随机的复杂网络. 用解析和数值方法计算了网络的主要特征 参数. 结果表明:度分度、节点间平均距离和网络集群系数与一般随机网络接近,但具体变 化规律有所不同. 由此可见,准周期复杂网络既有一般网络的共性,也有更为丰富的其他 特征.

关键词: 彭罗斯拼图, 准周期结构, 复杂网络, 统计性质

Abstract:

In order to extend the models and exploit new features for complex networks,the statistical properties of random complex networks are explored.In the investigation,first,on the basis of the Penrose tiling composed of two kinds of rhombus,random connections of the vertex are added to construct a partially random complex network in which the connecting probability depends on the vertex type.Then,the main characteristic parameters of the network are calculated by using analytical and numerical methods.It is found that the degree distribution,the ave- rage inter-node distance and the cluster coefficient of the partially random complex network are all close to those of general random networks but obey different variation laws,which means that the proposed quasi-periodic complex network possesses not only the common properties of general networks but also abundant specific features.

Key words: Penrose tiling, quasi-periodic structure, complex network, statistical property

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