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Monday, August 16, 2010
Posted by Roberto
5:47 PM
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U.S. MOOD INFERRED FROM TWITTER
The plots were calculated using over 300 million tweets (Sep 2006 - Aug 2009) collected by MPI-SWS researchers, represented as density-preserving cartograms. This visualization includes both weekdays and weekends; in the future, will we create seperate maps for each. The mood of each tweet was inferred using ANEW word list using the same basic methodology as previous work. County area data were taken from the U.S. Census Bureau, and the base U.S. map was taken from Wikimedia Commons. User locations were inferred using the Google Maps API, and mapped into counties using PostGIS and U.S. county maps from the U.S. National Atlas. Mood colors were selected using Color Brewer 2.
Production Team
Researchers from Northeastern University and Harvard University, studying the characteristics and dynamics of Twitter. Alan Mislove, Sune Lehmann, Yong-Yeol Ahn, Jukka-Pekka Onnela, J. Niels Rosenquist
Labels: mood inferred from Twitter
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