An immunization based on node activity
An immunization based on node activity
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DOI：
10.1016/j.chaos.2018.01.013
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发表时间：
2018-02-01
影响因子：
7.8
通讯作者：
Wang, Xingyuan
中科院分区：
文献类型：
--
作者：
Nian, Fuzhong;Hu, Chasheng;Wang, Xingyuan
基于动态网络模型建立了一个标准的SIRS流行病模型。构建了基于Barabasi-Albert（BA）无标度网络模型的动态网络，在保持总边数不变的情况下，根据相应的节点活跃度进行边的添加和删除操作。这些操作还可以更改节点活动。同时提出了一种新的免疫方案--“基于节点活动的免疫”，即首先对活动最多的节点进行免疫。研究了随机免疫、基于节点活动的免疫和高风险免疫的传播情况，并详细分析了一些参数对感染个体密度的影响。结果表明，当免疫节点数相同时，基于节点活跃度的免疫效果最好。因此，基于节点活动的免疫是有效的，在动态网络中更具有可行性。(C)2018爱思唯尔有限公司版权所有
In this paper, a standard susceptible-infected-recovered-susceptible (SIRS) epidemic model based on the dynamic network model is established. The dynamic network based on the Barabasi-Albert (BA) scale-free network model is constructed, keeping the same total number of edges, adding and deleting edges are operated according to the corresponding node activity level. These operations also can change the node activity. At the same time, a new immunization scheme - "immunization based on node activity" is proposed, in which the nodes with most active be immunized firstly. The propagation situations of random immunization, immunization based on node activity and high-risk immunization are investigated, the influence of some parameters on the density of infected individuals is also analyzed in detail. When the number of immunization nodes is the same, the results show that the effect of immunization based on node activity is the best. Therefore, immunization based on node activity is effective, and it is more feasible in dynamic network. (C) 2018 Elsevier Ltd. All rights reserved.