Securboration, Inc.

Craig T Hagan

Bruce R McQueary

Lee Krause

James B Schneider

Carlos E Guestrin

Craig S Anken

Sean K Thornton

Robert G Asfar

Peter M LaMonica

Methods and systems for classifying social media users. The system computes a plurality of subgraphs from a user's social graph network and considers which types of subgraphs are overly represented in the user's social network to determine whether a user belongs to a certain class. The system may also consider features based on metadata of the user's network and social interactions occurring in the user's network.

Classifying social media users

Methods and systems for motif recognition in graph sets. Distribution scores comparing the canonical representations of a compressed graph in the set of graphs versus the canonical representations of a compressed graph in a reference graph are used to determine the significance of the compressed graph.

Motif recognition

Methods and systems for node and link detection in social network analysis. Interactive noise reduction allows reduction of the data set under analysis to enable substantially real time detection of links and nodes.

Methods and systems for node and link identification

Growing community of inventors

Melbourne Beach, FL, United States of America

Craig T Hagan