Social Authenticity Network

Introduction
PROBLEM AND SOLUTION
- Problem Statement
- Solution Statement
Markets and Competitors Analysis
- Markets & Growth
- AN vs Competitors
AN Social Authenticity Solutions
AN Social Authenticity Network
AN SocAuth Applications
- AN Mobile App
  - AN Social Feeds
  - App Services & Features
- AN Interactive
  - Wearable & Mobility Devices
Tokenomics and Revenues
- Tokenomics
- Revenues
User Centric Rewards System
- Rewards System
Roadmap
- 2023 - 2024
OUR TEAM
- Team Info
AANN.ai Lab
- Research
- Development
Authentica Foundation
- About Authentica

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Last updated 9 months 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.