首页 | 本学科首页   官方微博 | 高级检索  
     

基于容量维数的复杂网络自相似性研究
引用本文:陶少华,刘玉华,许凯华,贾永灿. 基于容量维数的复杂网络自相似性研究[J]. 计算机工程, 2008, 34(2): 175-177
作者姓名:陶少华  刘玉华  许凯华  贾永灿
作者单位:华中师范大学计算机科学系,武汉,430079;华中师范大学数字空间研究中心,武汉,430079
基金项目:国家自然科学基金 , 国家重点基础研究发展计划(973计划)
摘    要:复杂网络自相似性具有广泛的实际背景。文章阐述了自相似性网络形成的原因与过程,对复杂网络的3个统计属性给出详细的讨论与分析,并提出自相似性网络群的概念。利用不同的最短路径作为尺度覆盖不同的局部网络以揭示复杂网络的自相似性,数值仿真和理论分析模拟并刻画现实中许多复杂网络的演化及其特征。

关 键 词:复杂网络  无尺度  自相似性  容量维数
文章编号:1000-3428(2008)02-0175-03
收稿时间:2007-02-21
修稿时间:2007-02-21

Self-similarity Research of Complex Networks Based on Volume Dimension
TAO Shao-hua,LIU Yu-hua,XU Kai-hua,JIA Yong-can. Self-similarity Research of Complex Networks Based on Volume Dimension[J]. Computer Engineering, 2008, 34(2): 175-177
Authors:TAO Shao-hua  LIU Yu-hua  XU Kai-hua  JIA Yong-can
Affiliation:(1. Computer Science Department, Huazhong Normal University, Wuhan 430079;2. Research Center of Digital Space, Huazhong Normal University, Wuhan 430079)
Abstract:The self-similarity of complex networks has broad practical backgrounds, The reason and the course of self-similarity networks are formed and these three statistics characters of complex networks are discussed and analyzed in detail in this paper; besides, the concept of self-similarity groups is defined. This paper proposes that different local networks can be covered with different shortest path to reveal the self-similarity of complex networks. Both theoretical analysis and simulation results are the evolution and characters more exactly for many complex networks of the real world.
Keywords:complex networks   free-scale   self-similarity   volume dimension
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程》浏览原始摘要信息
点击此处可从《计算机工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号