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机构地区:[1]中科华核电技术研究院有限公司,广东深圳518026
出 处:《微计算机信息》2009年第36期153-155,共3页Control & Automation
摘 要:近年来,真实网络中小世界效应和无标度特性的发现激起了物理学界对复杂网路的研究热潮,而对复杂网络最重要最常用的统计特征以及如何算出这些统计特征的研究进展缓慢。当前复杂网络研究所面临的一个严峻问题是来自其实践应用方面,由于复杂网络的研究相对比较孤立,研究者间交流的机会不多,研究成果没有得到真正共享,效率极其低下。本文总结了复杂网络研究过程中最常用的基本指标,并建立一个基于复杂网络的结构测度指标库。In recent years,the smallworld effect and scalefree characteristics of real world have stirred up boom of the physics community on the research of complex network. What is the most important and commonly used of demographic characteristics of complex network,and how to calculate these demographic characteristics. As we known,the person who study complex network should earn their own living. In order to get the result of one index,they sometimes should code by themselves,which is extremely ineffective. And this is quite difficult for researchers. Moreover, it is extremely extravagant that everyone should code by themselves. Based on these issues of this topic, I sum up the most commonly used basic index during in the course of complex network, then I establish the structure measurement index database for complex network.
分 类 号:TP301.5[自动化与计算机技术—计算机系统结构]
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