Regensburg 2013 – scientific programme
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AGjDPG: Arbeitsgruppe junge DPG
AGjDPG 4: Big Data (joint with SOE)
AGjDPG 4.3: Invited Talk
Thursday, March 14, 2013, 10:30–11:00, H37
From Noise to Signal. Stories about big data. — •Sune Lehmann1, Yong-Yeol Ahn2, Alan Mislove3, Jukka-Pekka Onnela4, and Niels James Rosenquist5 — 1Technical University of Denmark, Kgs Lyngby, Denmark — 2Indiana University, Bloomington Indiana — 3Northeastern University, Boston, MA, USA — 4Harvard School of Public Health, Boston, MA, USA — 5Mass General Hospital, Boston, MA
This talk tells the story of how we used over 300 million tweets (Sep 2006 - Aug 2009) to map the collective mood of the United States. The mood of each tweet was inferred using a simple word-list (ANEW), and the results are represented as density-preserving cartograms. A cartogram is a map in which the mapping variable (in this case, the number of tweets) is substituted for the true land area. Thus, the geometry of the actual map is altered so that the shape of each region is maintained as much as possible, but the area is scaled in order to be proportional to the number of tweets that originate in that region. For the final part of the talk, we will discuss the importance of visualization in analysis of Big Data as well as new developments in the area of Big Data.