Influence of Opinion Dynamics to Inhibit Epidemic Spreading Over Multiplex Network
Influence of Opinion Dynamics to Inhibit Epidemic Spreading Over Multiplex Network
复制标题
多元网络舆论动态对抑制疫情传播的影响
DOI：
10.1109/lcsys.2020.3035873
复制
发表时间：
2021
影响因子：
3
通讯作者：
Surajit Panja
中科院分区：
文献类型：
--
作者：
Sourav K. Bhowmick;Surajit Panja
这封信调查了流行病期间社会对公共卫生问题的看法演变如何阻碍其发展。研究中考虑了多重双层网络，其中疾病通过定向物理交互网络层传播，而意见则通过定向社交网络层形成。为此，在社交网络上考虑了意见动态模型，该模型结合了人们当前对考虑谨慎措施的意见依赖敏感性。另一方面，疾病传播是通过网络广义的易感-暴露-感染-警惕（SEIV）流行病模型来捕捉的，该模型融入了社会的警惕态度。对网络传输模型的无病平衡（DFE）进行稳定性分析，推导了DFE指数稳定的充分条件。仿真结果证实了理论研究结果的有效性。
This letter investigates how opinion evolution in society regarding public health concerns during an epidemic hinders its progression. A multiplex bilayer network is considered in the study where the disease is transmitted through a directed physical interaction network layer while the opinions are formed over a directed social network layer. Towards that end, an opinion dynamical model is considered over the social network which incorporates people’s current opinion-dependent susceptibilities to considering the cautious measures. The disease transmission, on the other hand, is captured by network generalized Susceptible-Exposed-Infected-Vigilant (SEIV) epidemic model which incorporates vigilant attitude in the society. Stability analysis of the disease-free equilibrium (DFE) of the network transmission model is carried out, and sufficient condition for exponential stability of the DFE is derived. The simulation results corroborate the effectiveness of the theoretical findings.