A new discrete-time epidemic model describing information spread and its impact on the agree-disagree model

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7973
Soukaina Hilal, I. Khaloufi, H. Boutayeb, R. Bouajaji
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Abstract

. In this study, we propose a new modified discrete-time epidemic model that characterizes the diffusion of information and its impact on the agreement/disagreement model. So the goal is to increase the amount of information to influence people’s opinions. To do this, we proposed a control strategy based on the increase in the number of posts that influence people to agree with the subject studied (election, vaccine against COVID 19). The Pontryagin maximum principle is used to describe optimal control. Finally, numerical simulations are performed to verify the theoretical analysis using MATLAB
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描述信息传播的一种新的离散时间流行病模型及其对同意-不同意模型的影响
。在本研究中,我们提出了一个新的改进的离散时间流行病模型,该模型描述了信息的扩散及其对同意/不同意模型的影响。所以我们的目标是增加信息量来影响人们的观点。为此,我们提出了一种控制策略,该策略基于影响人们同意研究主题的帖子数量的增加(选举,针对COVID - 19的疫苗)。用庞特里亚金极大值原理来描述最优控制。最后,利用MATLAB进行了数值仿真,验证了理论分析的正确性
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
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