Interactions

AN DeepNet

• An advanced neural network with multiple layers of processing units.

• Each layer is designed to analyze and interpret different aspects of complex data. DeepNet identifies and learns from data patterns.

• Predicts trust rankings based on user interactions and other user-reward / voluntarily supplied data.

AN Social Graph

• Establish and model social connections and relationships between users.

• The Social graph is used to identify, track, and establish unique user relations across the network.

• Internally these relations are represented by Bipartite indirect graphs of user-to-user relations and stored in Graph Database.

• Graphs are tracked and analyzed by Neural Networks and Classical Graph algorithms.

AN Post Interact

• Represent user-to-post interactions (shares, comments, etc.) on a mobile Social App.

AN User Data

• Includes user-reward / voluntarily supplied profile information about user skills, interests, and expertise levels amongst other things.