Paragon Science Featured on O'Reilly Media
Identifying viral bots and cyborgs in social media
Analyzing tweets and posts around Trump, Russia, and the NFL using information entropy, network analysis, and community detection algorithms.
Paragon Science has been granted U.S. Patent #8738652 (“Systems and Methods for Dynamic Anomaly Detection”), issued on May 27, 2014.
Dr. Steve Kramer gave a joint presentation, “Got Chaos? Extracting Critical Business Intelligence from Email Using Advanced NLP and Dynamic Graph Analysis,” with Matthew Russell, CTO of Digital Reasoning, at Data Day Texas 2014.
Paragon Science has collaborated with WCG on their MDigitalLife initiative to identify key Twitter influencers and viral topics in their curated community of clinical oncologists.
Paragon Science’s paper entitled “Anomaly detection in extremist web forums using a dynamical systems approach” for the Challenge Project has been accepted for presentation and publication at the ACM SIGKDD Workshop on Intelligence and Security Informatics in Washington, DC, in July 2010.