报告题目：Improve Influenza predictions with “Big Data” and Mathematical Modeling

报告时间：2015年7月2日上午9：00

报告地点：数学馆 3楼会议室（310）

报告人： 亚利桑那州立大学 王海燕教授

报告摘要：

The rich and big data generated and read by millions of users on social media tells what is happening in the real world in a rapid and accurate fashion. In recent years many researchers have explored real-time streaming data from Twitter for a broad range of applications such as predicting flu trends. In this talk, we present our design and implementation of a prototype system to collect flu related twitter data. Further we use partial differential equation models to describe the diffusion of flu related information in Twitter in both spatial and temporal dimensions. We correlate the results with official statistics from Center for Disease Control and Prevention (CDC). These results demonstrate that the system can be used to real-timely monitor spread of flu trends.

专家简介：

王海燕，美国亚利桑那州立大学数学与自然科学系教授，博士生导师。王海燕教授长期从事非线性微分方程、反应扩散系统、生物数学、无穷维动力系统、网络信息扩散的建模，大数据等的研究工作, 取得显著成绩，获得广泛关注，其研究工作获得了亚利桑那州立大学杰出研究工作奖。王海燕教授在国际一流刊物上发表论文60余篇，论文被SCI引用总次数超过1300次。曾获2007-2011年的Journal Differential Equations高引论文奖。