MySQL Social Network Database

This is a social network database implemented using MySQL, with a Python3 API and command-line client.

MySQL schema

The MySQL schema is normalized to Boyce-Codd Normal Form (BCNF) with the following entity-relation model:

Sample data

A sample dataset of approximately 10000000 posts from 70000 users can be obtained from Twitter using the scripts in twitter_dataset/.

Populating the database

A local MySQL instance can by populated with the sample dataset using the scripts in populate_database/.

Python3 API

The database can be accessed via an API written using the standard MySQL connector for Python3. It supports the following features:

• creating users
• creating user groups
• following users
• creating posts
• replying to posts and other replies (organized recursively into a hierarchy)
• reacting to posts and replies (like, love, dislike, etc)
• read and unread flags
• tagging posts with topics (organized recursively into a hierarchy)
• following topics
• searching for posts by author, topics, date created, etc
• notifying a user about posts made since the last time he/she read from followed users and/or topics

Command-line client

A simple client for interacting with the database, using the Python3 API, is provided in run.py.

Setup for usage and/or development

python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt