Building a Social Network Analysis Tool

#apacheage #postgres #socialnetworks #sna

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
);