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
);
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Hi, seems like the complete post is not available. Request you to edit the post and add the missing parts.
Thanks