Dimension Properties of The Self-similarity Complex Networks

被引：0

作者：

Tao, Shaohua ^{[1
]}

Ma, Hui ^{[1
]}

机构：

[1] Xu Chang Univ, Dept Comp Sci & Technol, Xu Chang City, Peoples R China

来源：

2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL I | 2009年

关键词：

Complex networks; Self-similarity; Information transfer; Volume dimension; Information dimension;

D O I：

10.1109/CCCM.2009.5268120

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The self-similarity of complex networks has broad practical backgrounds, yet the self-similarity of network has been rarely studied. One of the problems is to explore the origination of self-similarity in real networks. For this purpose, we proposed the information transfer model in network. The volume dimension integrating the information transfer model is given to analysis the self-similarity of complex networks. But the volume dimension measured the self-similarity of network has some shortage, hence, the information dimension also is given to summarize the self-similarity. The two methods statistics the self-similarity of complex network using the box counting. However, the information dimension has some certain objective in measured self-similar compared to the volume dimension.

引用

页码：310 / 313

页数：4

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