Stability and Global Sensitivity Analysis for an Agree-Disagree Model: Partial Rank Correlation Coefficient and Latin Hypercube Sampling Methods

IF 1.5 Q2 MATHEMATICS, APPLIED International Journal of Differential Equations Pub Date : 2020-04-01 DOI:10.1155/2020/5051248
S. Bidah, O. Zakary, M. Rachik
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引用次数: 20

Abstract

In this paper, we present a new mathematical model that describes agree-disagree opinions during polls. We first present the model and its different compartments. Then, we use the next-generation matrix method to compute thresholds of equilibrium stability. We perform the stability analysis of equilibria to determine under which conditions these equilibrium points are stable or unstable. We show that the existence and stability of these equilibria are controlled by the calculated thresholds. Finally, we also perform several computational and statistical experiments to validate the theoretical results obtained in this work. To study the influence of various parameters on these thresholds and to identify the most influential parameters, a global sensitivity analysis is carried out based on the partial rank correlation coefficient method and the Latin hypercube sampling.
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同意-不同意模型的稳定性和全局灵敏度分析:偏秩相关系数和拉丁超立方体抽样方法
在本文中,我们提出了一个新的数学模型来描述民意调查中的同意-不同意意见。我们首先介绍模型及其不同的隔间。然后,我们使用下一代矩阵方法来计算平衡稳定性的阈值。我们对平衡点进行稳定性分析,以确定这些平衡点在什么条件下是稳定的或不稳定的。我们证明了这些平衡的存在性和稳定性是由计算的阈值控制的。最后,我们还进行了一些计算和统计实验,以验证本工作中获得的理论结果。为了研究各种参数对这些阈值的影响,并确定最具影响的参数,基于偏秩相关系数法和拉丁超立方体抽样进行了全局灵敏度分析。
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
20 weeks
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