Big Data Analysis Tool Predicts Republican Debate Winners, Losers
NEWS ANALYSIS: A big data analysis tool from ICG Solutions trains the big guns of the intelligence community on Twitter as a way to see who the winners and losers were in the Sept. 16 Republican debate.David Waldrop and I were sitting in the National Press Club's legendary Truman Lounge watching two huge television screens showing CNN's coverage of the second Republican debate. Sitting on a table in front of us was a laptop computer running Linux and a data analysis tool called LUX2016 and it was getting as much attention as the screens on the walls. Waldrop, who is CEO and founder of ICG Solutions in Chantilly, Va., was pointing out the changes in the constantly moving bar graphs on his laptop. Those graphs displayed on Waldrop's computer were reporting the readings from Twitter as users everywhere reacted to the debates and to the candidates. The readings tracked the number and nature of the tweets so it could update the results every 10 seconds. On the graphs, we saw segments for each 10-second period along with a color code for statistically important changes. The color changed according to the variance measured by standard deviations. As a result, if the public on Twitter increased its response to a candidate by 10 standard deviations, the segment was colored red.
Equally important to how much of a response a candidate received was the duration and consistency of the response. For example, we might see a big response for 30 seconds when a candidate said something dramatic, but then a lower number other times.