Fraud detection and viral social features for a social identifier

The client provides a social identifier that is a free web identity credential controlled by the user. We designed and implemented an algorithm (based on research out of Stanford University) on Hadoop using PIG to evaluate the authenticity of an individual’s profile attributes using terabytes of social networking data. We also implemented various fraud detection and prevention solutions alongside viral social features to enable users to leverage their social graph to add to their assert score.