Building a Social Network Analysis Tool

Introduction:
Social Network Analysis (SNA) is a powerful technique for studying relationships and interactions within social networks. In this project, we will utilize Apache AGE, an extension for PostgreSQL, to build a tool for analyzing and visualizing social networks. The tool will enable users to explore network properties, identify key influencers, and uncover community structures within the network data.

Project Components:

1.Data Acquisition:

Gather social network data from various sources such as social media APIs, online forums, or communication logs. This data may include user profiles, connections, interactions, and content.

2.Data Modeling:

Firstly, Design a schema to represent the social network data in PostgreSQL using Apache AGE. Define tables for users, relationships, interactions, and any additional metadata associated with the network.

-- Create tables for users, relationships, and interactions CREATE TABLE users ( user_id SERIAL PRIMARY KEY, username VARCHAR(255), -- Add other user attributes as needed ); CREATE TABLE relationships ( relationship_id SERIAL PRIMARY KEY, user1_id INTEGER REFERENCES users(user_id), user2_id INTEGER REFERENCES users(user_id), relationship_type VARCHAR(50), -- Add timestamp or other metadata for relationships ); CREATE TABLE interactions ( interaction_id SERIAL PRIMARY KEY, user_id INTEGER REFERENCES users(user_id), interaction_type VARCHAR(50), -- Add timestamp or other metadata for interactions );