> For the complete documentation index, see [llms.txt](https://aann-ai.gitbook.io/social-authenticity-network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aann-ai.gitbook.io/social-authenticity-network/an-socauth-applications/an-mobile-app/an-social-feeds.md).
# AN Social Feeds
AN Social App stands as a distinctive graph of neuron formations, seamlessly combining multiple networks within its framework. Pioneering AI technologies, such as the Local Network to Scaled Global Network, amplify the user-friendliness of the application and efficiently structure data effective analysis and user convenience.
**Local Network: Connecting Users through Shared Interests**
The Local Network model is the catalyst for forging connections among users, clustering them based on shared interests and hobbies. For instance, if person A and person B both relish going to the theater, AN can intelligently identify and merge the relevant graphs. This feature fosters communities within the app, connecting like-minded individuals and enhancing the overall user experience.
**Scaled Network: Processing External Events with Precision**
The Scaled Network takes charge of evaluating and processing events occurring in the external world. It acts as a vigilant guardian against fake news, tracks emerging trends, and considers various factors crucial for maintaining a trustworthy platform. Designed to self-learn, the Scaled Network factors in data authenticity, information sources, content quality, and more. Its pivotal role in creating a Trust Score ensures fair distribution of ratings for user-generated content through an innovative Trust Ranking model.
**Empowering Users in the Web3 Environment**:
By utilizing the AN Social App, users can seamlessly interact with dynamic Web3 environments, unlocking a plethora of features and benefits.