Abstract | ||
---|---|---|
Breaking news and first-hand reports often trend on social media platforms before traditional news outlets cover them. The real-time analysis of posts on such platforms can reveal valuable and timely insights for journalists, politicians, business analysts, and first responders, but the high number and diversity of new posts pose a challenge. In this work, we present an interactive system that ena... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TVCG.2021.3114800 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Social networking (online),Heuristic algorithms,Data visualization,Clustering algorithms,Real-time systems,Text analysis,Visual analytics | Journal | 28 |
Issue | ISSN | Citations |
1 | 1077-2626 | 0 |
PageRank | References | Authors |
0.34 | 66 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Johannes Knittel | 1 | 16 | 3.85 |
Steffen Koch | 2 | 341 | 26.58 |
Tan Tang | 3 | 34 | 4.36 |
Wei Chen | 4 | 1193 | 92.00 |
Yingcai Wu | 5 | 1223 | 61.26 |
Shixia Liu | 6 | 2095 | 82.41 |
Thomas Ertl | 7 | 4417 | 401.52 |