Event-Radar: Real-time Local Event Detection System for Geo-Tagged Tweet Streams
Sibo Zhang, Yuan Cheng, Deyuan Ke

TL;DR
Event-Radar is a real-time, cloud-based system that detects local events from geo-tagged tweets by leveraging a novel cross-modal authority measure, enabling continuous monitoring and timely updates of local events.
Contribution
It introduces an improved algorithm based on GeoBurst+ for real-time local event detection from geo-tagged tweet streams, with a practical website demonstration system.
Findings
Effective real-time detection of local events from tweet streams
Continuous updating of event list with minimal delay
Demonstrated system for public use and monitoring
Abstract
The local event detection is to use posting messages with geotags on social networks to reveal the related ongoing events and their locations. Recent studies have demonstrated that the geo-tagged tweet stream serves as an unprecedentedly valuable source for local event detection. Nevertheless, how to effectively extract local events from large geo-tagged tweet streams in real time remains challenging. A robust and efficient cloud-based real-time local event detection software system would benefit various aspects in the real-life society, from shopping recommendation for customer service providers to disaster alarming for emergency departments. We use the preliminary research GeoBurst as a starting point, which proposed a novel method to detect local events. GeoBurst+ leverages a novel cross-modal authority measure to identify several pivots in the query window. Such pivots reveal…
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Taxonomy
TopicsComplex Network Analysis Techniques · Public Relations and Crisis Communication · Network Security and Intrusion Detection
