%0 Journal Article
%T A virus immunization model based on community in large scale networks<br>大规模网络的病毒群体免疫模型
%A SUN Jian-hua
%A LI Li-juan
%A LI Ding-ding
%A QIANG Wei-zhong
%A <br>孙建华
%A 李丽娟
%A 李丁丁
%A 羌卫中
%J 计算机应用
%D 2007
%I 
%X With the development of computers and Internet, more and more people use E-mail. Viruses of E-mail have caused large damages. Traditional intentional immunization based on degree does not take the positions of infected nodes into account, but just protects the nodes which have high degree. The concept of community was introduced into the research of virus and immunization, and an immunization model based on community was proposed. According to the different infection stages of viruses, this model immunized infected communities or health communities. It slowed down the virus spread rate and kept the virus from spreading to more communities. Intentional immunization based on degree can not keep the virus in certain communities, and as a result the infected nodes diffuse in almost all communities. Immunization based on community can keep the virus in certain communities. These two models are different in the number of nodes that need to be protected, and in community infection rate. So, immunization based on community is different from that based on degree in terms of principle, and it is novel and effective.
%K complex networks
%K virus
%K immunization
%K community<br>复杂网络
%K 病毒
%K 免疫
%K 群体
%K 大规模
%K 网络
%K 病毒
%K 群体感染
%K 免疫模型
%K networks
%K scale
%K large
%K community
%K based
%K model
%K immunization
%K 原理
%K 差别
%K 节点控制
%K 感染密度
%K 健康
%K 控制领域
%K 预防
%K 概念引入
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512EFC62E17030279AE&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=28B3EB92D5061EA4&eid=7882A2973AA04DE8&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=14