DocumentCode
119667
Title
Real-time identification and monitoring of abnormal events based on microblog and emergency call data using SMART
Author
Zhang, Jiawei ; Afzal, Shehzad ; Breunig, Dallas ; Xia, Jing ; Zhao, Jieqiong ; Sheeley, Isaac ; Christopher, Joseph ; Ebert, David S. ; Guo, Chen ; Xu, Shang ; Yu, Jim ; Wang, Qiaoying ; Wang, Chen ; Qian, Zhenyu ; Chen, Yingjie
Author_Institution
Purdue University in West Lafayette, IN, USA
fYear
2014
fDate
25-31 Oct. 2014
Firstpage
393
Lastpage
394
Abstract
This article describes a real-time visual analytics process based on microblog and emergency call data to solve VAST 2014 Mini Challenge 3. We extended SMART system (Social Media Analytics and Reporting Toolkit), developed by the U.S. Department of Homeland Security´s VACCINE Center. Our system consists of multiple linked views to allow the analyst monitor topic evolution, identify influential microblog users, observe geo-location patterns and examine correlations among different data sources. Extensions to our previous work include a time series view, a reply/retweet networks view, and integration of emergency call data.
Keywords
Microblog; Multiple Linked Views; Spatiotemporal Analysis; Visual Analytics;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location
Paris, France
Type
conf
DOI
10.1109/VAST.2014.7042582
Filename
7042582
Link To Document