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Modeling Modern Social-Network-Based Epidemics: A Case Study of Rose

机译:基于现代社交网络的流行病建模:以Rose为例

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The social-network-based epidemics, such as email-based ones, have been long studied. However, few have noticed some newly emerging epidemics which especially based on portable devices. In this paper, we think of such viruses and take a representative, the Rose epidemic, for case study. We build a model with a system of differential equations and closed-form solutions for three propagation scenes correspondingly. With both theoretical and numerical analysis, we find out that (1) Rose is able to infect hosts as exponentially as the Internet-based worms do;(2) In the Internet cafe scene, it is difficult to contain Rose even with reactive recovery measures; (3) the most influential factors for Rose's propagation are the amount of hosts and portable devices and the lifetime of Internet cafe machines, while the arrival rate of clients and the proportion of immune machines only affect in the print service office scene.
机译:对基于社交网络的流行病(如基于电子邮件的流行病)进行了长期的研究。但是,很少有人注意到一些新出现的流行病,尤其是基于便携式设备的流行病。在本文中,我们考虑了此类病毒,并以玫瑰流行病为代表进行案例研究。我们针对三个传播场景分别建立了一个具有微分方程和闭式解的系统模型。通过理论和数值分析,我们发现(1)Rose能够像基于Internet的蠕虫一样以指数方式感染主机;(2)在网吧场景中,即使采用被动恢复措施也很难遏制Rose ; (3)影响Rose传播的最主要因素是主机和便携式设备的数量以及网吧机器的使用寿命,而客户的到达率和免疫机器的比例仅在打印服务办公室的环境中起作用。

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