Name
Title | ||
|---|---|---|
EarthquakeAware: Visual Analytics for Understanding Human Impacts of Earthquakes from Social Media Data |
Abstract | ||
|---|---|---|
In this paper, we propose EathquakeAware, a visual analytics system for social media visualization. Our system supports analyzing geo-tagged messages from different perspectives, including location, keyword, account. It can summarize the evolution patterns of topics and reveal the discussing trend of different keywords to help evaluate situations in different regions. We take VAST Challenge 2019 Mini Challenge 3 as case studies to demonstrate its effectiveness in a fictitious analysis scenario. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VAST47406.2019.8986931 | 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | Field | DocType |
Human-centered computing,Visualization,Visualization application domains,Visual analytics | Data science,Data mining,Social media,Computer science,Visualization,Visual analytics,Human-centered computing | Conference |
ISSN | ISBN | Citations |
2325-9442 | 978-1-7281-2285-4 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuai Chen | 1 | 0 | 0.34 |
| Sihang Li | 2 | 2 | 1.03 |
| Liwenhan Xie | 3 | 3 | 1.36 |
| Zhong Yi | 4 | 51 | 8.12 |
| Yun Han | 5 | 10 | 1.75 |
| Xiaoru Yuan | 6 | 1157 | 70.28 |