DocumentCode :
17382
Title :
Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics
Author :
Andrienko, Gennady ; Andrienko, Natalia ; Bosch, Harald ; Ertl, Thomas ; Fuchs, G. ; Jankowski, P. ; Thom, D.
Volume :
15
Issue :
3
fYear :
2013
fDate :
May-June 2013
Firstpage :
72
Lastpage :
82
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.
Keywords :
data analysis; data visualisation; knowledge acquisition; social networking (online); Seattle-area residents; georeferenced Twitter data; knowledge extraction; space-time visual analytics; thematic patterns; Analytical models; Geophysical measurements; Scientific computing; Social network services; Twitter; Visual analytics; georeferencing; scientific computing; visual analytics;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2013.70
Filename :
6550013
Link To Document :
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