How To Convince People To Get A COVID-19 Vaccine: An Opinion Dynamics Model for REUNS 2022

被引：0

作者：

Payton, Micah ^{[1
]}

Dragovic, Natasa ^{[2
]}

机构：

[1] Tufts Univ, Medford, MA 02155 USA

[2] Tufts Univ, Dept Math, Medford, MA 02155 USA

来源：

2022 IEEE 19TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2022) | 2022年

基金：

美国国家科学基金会;

关键词：

Opinion dynamics; complex systems; networks; social models; bounded confidence;

D O I：

10.1109/MASS56207.2022.00122

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

When COVID-19 Vaccines became first available, there were a lot of questions and uncertainty related to them [1]. In this paper, we aim to model the evolution of COVID-19 Vaccine Hesitancy through an opinion dynamics model. We extend the model in [5] to general polygons and explore the parameter space. We compare our model with the real data available for Floyd County, Texas. Our findings imply that our model is good in predicting evolution of Vaccine Hesitancy in other counties. We also think that our model can be used to model and predict evolution of opinions on other topics.

引用

页码：776 / 780

页数：5

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