Back
Thematic patterns in georeferenced tweets through space-time visual analytics
Authors:
- Gennady Andrienko,
- Natalia Andrienko,
- Harald Bosch,
- Thomas Ertl,
- Georg Fuchs,
- Piotr Jankowski,
- Dennis Thom
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. © 1999-2011 IEEE.
- Record ID
- UAM8ee39fdf3f724bbebff533a916ae2dc0
- Author
- Journal series
- Computing in Science & Engineering, ISSN 1521-9615
- Issue year
- 2013
- Vol
- 15
- Pages
- 72-82
- ASJC Classification
- ;
- DOI
- DOI:10.1109/MCSE.2013.70 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 35
- Score source
- journalList
- Score
- Publication indicators
- = 54; = 69; : 2013 = 1.503; : 2013 (2 years) = 1.248 - 2013 (5 years) =1.418
Share
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM8ee39fdf3f724bbebff533a916ae2dc0/
- URN
urn:amu-prod:UAM8ee39fdf3f724bbebff533a916ae2dc0
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.