Dynamic Graph Analysis—Unraveling Ebola One Tweet at a Time

A sample of 2.5M tweets mentioning “Ebola” was collected during November 5–12, 2014. The titles of the 6227 web pages referenced by the tweets were used to cluster the web pages into roughly 100 topics. Paragon Science’s patented dynamic anomaly detection software identified the top five most-anomalous topics. This research demonstrates how these techniques allow us to focus attention quickly on viral, emerging topics. A video showing an animation of those anomalous topics and the key related web pages for every hour of that week in November 2014 is available at https://www.youtube.com/watch?v=AEQ02hv4Xjw.

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