Mathematical Modeling of Public Opinions: Parameter Estimation, Sensitivity Analysis, and Model Uncertainty Using an Agree-Disagree Opinion Model
المؤلفون المشاركون
Bidah, Sara
Zakary, Omar
Rachik, Mostafa
Ferjouchia, Hanane
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-02
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
In this paper, we present a mathematical model that describes agree-disagree opinions during polls.
We first present the different compartments of the model.
Then, using the next-generation matrix method, we derive thresholds of the stability of equilibria.
We consider two sets of data from the Reuters polling system regarding the approval rating of the U.S presidential in two terms.
These two weekly polls data track the percentage of Americans who approve and disapprove of the way the President manages his work.
To validate the reality of the underlying model, we use nonlinear least-squares regression to fit the model to actual data.
In the first poll, we consider only 31 weeks to estimate the parameters of the model, and then, we compare the rest of the data with the outcome of the model over the remaining 21 weeks.
We show that our model fits correctly the real data.
The second poll data is collected for 115 weeks.
We estimate again the parameters of the model, and we show that our model can predict the poll outcome in the next weeks, thus, whether the need for some control strategies or not.
Finally, we also perform several computational and statistical experiments to validate the proposed model in this paper.
To study the influence of various parameters on these thresholds and to identify the most influential parameters, sensitivity analysis is carried out to investigate the effect of the small perturbation near a parameter value on the value of the threshold.
An uncertainty analysis is performed to evaluate the forecast inaccuracy in the outcome variable due to uncertainty in the estimation of the parameters.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bidah, Sara& Zakary, Omar& Rachik, Mostafa& Ferjouchia, Hanane. 2020. Mathematical Modeling of Public Opinions: Parameter Estimation, Sensitivity Analysis, and Model Uncertainty Using an Agree-Disagree Opinion Model. Abstract and Applied Analysis،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1119850
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bidah, Sara…[et al.]. Mathematical Modeling of Public Opinions: Parameter Estimation, Sensitivity Analysis, and Model Uncertainty Using an Agree-Disagree Opinion Model. Abstract and Applied Analysis No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1119850
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bidah, Sara& Zakary, Omar& Rachik, Mostafa& Ferjouchia, Hanane. Mathematical Modeling of Public Opinions: Parameter Estimation, Sensitivity Analysis, and Model Uncertainty Using an Agree-Disagree Opinion Model. Abstract and Applied Analysis. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1119850
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1119850
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر