Abstract
Identifying events happening in a specific locality is important as an early warning for accidents, protests, elections or breaking news. However, this location-specific event detection is challenging as the locations and types of events are not known beforehand. To address this problem, we propose an online spatiotemporal event detection system using social media that is able to detect events at different time and space resolutions. First, we exploit a quad-tree method to split the geographical space into multiscale regions based on the density of social media data. Then, we implement a statistical unsupervised approach using Poisson distribution and a smoothing method for highlighting regions with unexpected density of social posts. Further, event duration is estimated by merging events happening in the same region at consecutive time intervals. A post processing stage is introduced to filter out events that are spam, fake or wrong. Finally, we incorporate simple semantics by using social media entities to assess the integrity, and accuracy of detected events. The proposed method is evaluated using Twitter and Flickr for the city of Melbourne based on recall and precision measures. We also propose a new quality measure named strength index, which automatically measures how accurate the reported event is.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE International Conference on Big Data |
Editors | Chaitanya Baru, Jun Huan, Latifur Khan, Xiaohua Tony Hu, Ronay Ak, Yuanyuan Tian, Roger Barga, Carlo Zaniolo, Kisung Lee, Yanfang Fanny Ye |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 2247-2256 |
Number of pages | 10 |
ISBN (Electronic) | 9781728108582, 9781728108575, 9781728108582 |
ISBN (Print) | 9781728108599 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |
Event | IEEE International Conference on Big Data (Big Data) 2019 - Los Angeles, United States of America Duration: 9 Dec 2019 → 12 Dec 2019 https://ieeexplore.ieee.org/xpl/conhome/8986695/proceeding (Proceedings) |
Conference
Conference | IEEE International Conference on Big Data (Big Data) 2019 |
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Abbreviated title | Big Data 2019 |
Country/Territory | United States of America |
City | Los Angeles |
Period | 9/12/19 → 12/12/19 |
Internet address |
Keywords
- Flickr
- Online Event Detection
- Poisson Distribution
- Quad-tree
- Social Media