Name
Abstract | ||
|---|---|---|
An exploratory study of the potential of georeferenced Twitter data (using tweets from Seattle-area residents over a two-month period) extracts knowledge about people's everyday life. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MCSE.2013.70 | Computing in Science and Engineering |
Keywords | Field | DocType |
data analysis,data visualisation,knowledge acquisition,social networking (online),Seattle-area residents,georeferenced Twitter data,knowledge extraction,space-time visual analytics,thematic patterns,georeferencing,scientific computing,visual analytics | Data science,Geographic information system,Data visualization,World Wide Web,Everyday life,Computer science,Georeference,Visual analytics,Thematic map,Exploratory research,Knowledge acquisition | Journal |
Volume | Issue | ISSN |
15 | 3 | 1521-9615 |
Citations | PageRank | References |
9 | 0.60 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gennady Andrienko | 1 | 3106 | 208.19 |
| Natalia Andrienko | 2 | 2922 | 192.14 |
| Harald Bosch | 3 | 361 | 19.16 |
| Thomas Ertl | 4 | 4417 | 401.52 |
| Georg Fuchs | 5 | 16 | 2.51 |
| Piotr Jankowski | 6 | 462 | 47.50 |
| Dennis Thom | 7 | 178 | 10.72 |