摘要
为了探究实际情形中公共危机伪信息的扩散及免疫规律,构建了ER-ER随机双层网络拓扑结构,并基于SIR模型得出了该网络中伪信息扩散的阈值.依据扩散阈值选取相应的扩散速率,利用Netlogo仿真研究了双层网络间的相互联系对伪信息免疫的影响,结果表明双层网络相互联系对伪信息免疫存在双重影响作用,即在单一免疫情况下,表现为扩散抑制;双重免疫下,表现为扩散促进.进一步基于该相互联系,得出了公共危机双层网络伪信息扩散的综合免疫阈值,发现其相较各子网分别免疫有较大幅度的增加.
In order to investigate the diffusion and immunization law of false information in public crisis in reality, a two-layered ER-ER random network topology is developed. Further, based on SIR model, the theoretical threshold of false information diffusion in two-layered networks is derived. Setting appropriate spreading rates in the two-layered network according to the threshold, the influence of the interrelationships between the networks on the immunization of false information is studied using Netlogo simulation. The results show that there is a dual influence on immunization. In the case of single-network immunization, there is a negative effect on diffusion, while in the case of both immunization there is a positive effect. Furthermore, the integrated immunization threshold is calculated in two-layered networks considering the relationships. It is found that there is a large increase in the threshold compared with separate immunization.
作者
朱晓霞
刘萌萌
沈羽翯
陆君安
Zhu Xiaoxia;Liu Mengmeng;Shen Yuhe;Lu Junan(Economics and Management School,Yanshan University,Qinhuangdao 066004,China;National Radio Monitoring Center,Beijing 100037,China;School of Mathematics and Statistics,Wuhan University,Wuhan 430072,China)
出处
《系统工程学报》
CSCD
北大核心
2018年第5期589-596,共8页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(71301140)
河北省自然科学基金资助项目(G2015203425)
燕山大学省高校人文社科重点研究基地资助项目(SZ2015007)
燕山大学研究生创新资助项目(2015XJSS040)
关键词
公共危机
双层网络
伪信息扩散
阈值
public crisis
two-layered networks
false information diffusion
threshold
