Social Authenticity Network
  • Introduction
    • What is #SocAuth?
    • AN Social Authenticity Network
    • Vision & Mission
  • PROBLEM AND SOLUTION
    • Problem Statement
    • Solution Statement
  • Markets and Competitors Analysis
    • Markets & Growth
    • AN vs Competitors
  • AN Social Authenticity Solutions
    • AN Neural Network
      • Network Services
      • Network Scaling
      • Network Clusters
    • AN AI Powerhouse
      • Interactions
      • Network Embedding
      • AI Modular Infrastructure
      • Dimensional Analysis
      • Blau Spaces
      • DeepNet
    • Use Cases
  • AN Social Authenticity Network
    • User Data Sovereignty
    • Community Validation
    • Genuine Reviews
    • Social Trust Metric (STM)
      • STM Features
    • AN ID/DID
      • ID/DID Solutions
  • AN SocAuth Applications
    • AN Mobile App
      • AN Social Feeds
      • App Services & Features
    • AN Interactive
      • Wearable & Mobility Devices
  • Tokenomics and Revenues
    • Tokenomics
      • Token Utility
      • User Rewards
      • Buyback & Burn
    • Revenues
  • User Centric Rewards System
    • Rewards System
      • ANr and ANp Points
      • Rewards Rates
      • User Contributions
  • Roadmap
    • 2023 - 2024
  • OUR TEAM
    • Team Info
  • AANN.ai Lab
    • Research
    • Development
  • Authentica Foundation
    • About Authentica
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  1. AN Social Authenticity Solutions
  2. AN AI Powerhouse

Interactions

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Last updated 1 year ago

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.