Dynamical Analysis of The Infectious Disease Based on Scale-Free Networks and Higher-Order Networks
Speaker
Prof. Mao-Xing Liu
Beijing University of Civil Engineering&Architecture
Abstract

In this talk, a new network-based SIR epidemic model, which incorporates the individual medical resource factor and public medical resource factor is proposed, and an epidemic model of the effect of media reports on higher-order networks is proposed, in which the simplicial complex is utilized to construct a social network that describes connections between nodes, where a single link can connect more than two individuals. The theoretical results are illustrated by numerical simulations. Through theoretical analysis and numerical simulation, it has been found that analyzing the model on the network can lead to more complex dynamic phenomena.

About the Speaker

刘茂省, 男, 北京建筑大学理学院教授, 博士生导师, 中国数学会生物数学专业委员会常务委员。2003年毕业于西安交通大学获得理学硕士学位, 2009年毕业于复旦大学获得博士学位, 2003-2022年工作于中北大学, 曾在加拿大约克大学、匈牙利塞格德大学、美国亚利桑那州立大学访问。主要研究方向为网络传染病动力学, 负责主持国家自然科学基金3项, 参加国家自然科学基金5项, 其中重点项目1项。曾主持山西省1331工程重点创新团队, 主讲的《常微分方程》被评为山西省精品课程。曾获得山西省教学成果一等奖1项(第二完成人), 山西省科技奖自然类一等奖1项(第五完成人), 二等奖1项(第一完成人)等。

Date&Time
2023-09-25 4:00 PM
Location
Room: A203 Meeting Room
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