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Paragon Science at Data Day Seattle 2016

Dr. Kramer presented his research on more than 120 M tweets related to the 2016 U.S. presidential elections in a talk entitled “Finding Key Influencers and Viral Topics in Twitter Networks Related to ISIS, Brexit, and the 2016 Elections.”

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 […]

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