Twitter open sources tool that spots unusual activity
Twitter said on Tuesday that it open sourced a tool called AnomalyDetection that can discover when unexpected activity occurs that may negatively impact Twitter’s service, such as traffic spikes or spam bots.
AnomalyDetection, which is an R programming package, helps [company]Twitter[/company] scan for the big traffic influxes that might take place during times of breaking news, major sports events like the World Series and the holiday season. It can also unearth spammers who are generating bad statistics regarding common Twitter metrics like the number of favorites or followers a person might have.
Although this may sound similar to the recently open-sourced BreakoutDetection tool that Twitter detailed in October, the main difference is that a breakout refers to when there is a sudden shift of activity that results in “two steady states and an intermediate transition period,” according to a Twitter posting on BreakoutDetection. An anomaly, on the other hand, can be…
View original post 155 more words