Speaker：Haiyan Wang，Arizona State University，USA

Title： Combining “Big Data” and PDE Models to Improve Influenza predictions

Time：2016-6-29, 16:00-17:00pm

Venue: Room 316 of Environment Building, Renmin University

Abstract: The rich and big data generated by millions of users on social media reveals interesting phenomena 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.