Abstract
Detecting anomalous events of a particular area in a timely manner is an important task. Geo-tagged social media data are useful resource for this task, but the abundance of everyday language in them makes this task still challenging. To address such challenges, we present TopicOnTiles, a visual analytics system that can reveal the information relevant to anomalous events in a multi-level tile-based map interface by using social media data. To this end, we adopt and improve a recently proposed topic modeling method that can extract spatio-temporally exclusive topics corresponding to a particular region and a time point. Furthermore, we utilize a tile-based map interface to efficiently handle large-scale data in parallel. Our user interface effectively highlights anomalous tiles using our novel glyph visualization that encodes the degree of anomaly computed by our exclusive topic modeling processes. To show the effectiveness of our system, we present several usage scenarios using real-world datasets as well as comprehensive user study results.
Original language | English |
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Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Engage with CHI |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450356206, 9781450356213 |
DOIs | |
Publication status | Published - 2018 Apr 20 |
Event | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada Duration: 2018 Apr 21 → 2018 Apr 26 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Volume | 2018-April |
Other
Other | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 |
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Country/Territory | Canada |
City | Montreal |
Period | 18/4/21 → 18/4/26 |
Bibliographical note
Publisher Copyright:© 2018 ACM.
Keywords
- Anomalous event detection
- Social media
- Spatio-temporal data analysis
- Visual analytics
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design