Paper Info
Title
Human as Real-Time Sensors of Social and Physical Events: A Case Study of Twitter and Sports Games
Abstract
In this work, we study how Twitter can be used as a sensor to detect frequent and diverse social and physical events in real-time. We devise efficient data collection and event recognition solutions that work despite various limits on free access to Twitter data. We describe a web service implementation of our solution and report our experience with the 2010-2011 US National Football League (NFL) games. The service was able to recognize NFL game events within 40 seconds and with accuracy up to 90%. This capability will be very useful for not only real-time electronic program guide for live broadcast programs but also refined auction of advertisement slots. More importantly, it demonstrates for the first time the feasibility of using Twitter for real-time social and physical event detection for ubiquitous computing.
Year
Venue
Keywords
2011
arXiv: Social and Information Networks
ubiquitous computing,data collection,real time,web service
Field
DocType
Volume
Electronic program guide,Football,Data collection,Broadcasting,World Wide Web,Computer science,League,Ubiquitous computing,Web service,Event recognition
Journal
abs/1106.4300
Citations 
PageRank 
References 
14
1.08
0
Authors
4
Name
Order
Citations
PageRank
Siqi Zhao1201.92
Lin Zhong23131213.03
Jehan Wickramasuriya343731.34
Venu Vasudevan462159.19