基于微博用户关系演化网络的谣言免疫机制研究  

Study on the rumor immune mechanism based on microblog user relationship evolution network

作　　者：王静[1] 

机构地区：[1]武警工程大学电子技术系,陕西西安710086

出　　处：《电子技术应用》2015年第9期114-117,共4页Application of Electronic Technique

基　　金：国家自然科学基金项目(61402531);陕西省自然科学基础研究计划项目(2014JQ8358;2014JQ8307;2015JQ6231);武警工程大学基础研究基金项目(WJY201419)资助的课题

摘　　要：在分析随机免疫、熟人免疫及目标免疫三种经典免疫机制在微博用户关系演化网络上的免疫特性的基础上,针对微博用户关系演化网络的具体特点,提出一种新的目标免疫策略。研究表明,当节点吸引度满足均匀分布时,随机免疫和熟人免疫的免疫效果基本一致。当节点吸引度满足指数分布时,熟人免疫的性能较优。研究还发现,对于节点吸引度服从均匀分布及指数分布的情况,目标免疫明显优于其他两种免疫策略,但是低于本文提出的新目标免疫机制。This paper analyzes the immunological characteristics of random immunization, acquaintance immunization and targeted immunization on a microblog user relationship evolution network. Based on this, according to the specific characteristics of microblog user relationship evolution network, a novel targeted immunization is proposed. The results show that when the node attraction degree obeys uniform distribution, the immune effect of random immunization and acquaintance immunization is basically the same. When the node attraction degree follows exponential distribution, the performance of acquaintance immunization is better. We also find that when the node attraction degree follows uniform distribution and exponential distribution, the targeted immunization obviously performs better than the other two immunization strategies, but is weaker than the new targeted immunization given in this paper.

关 键 词：演化网络 随机免疫 目标免疫 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]