https://github.com/smsraj2001/social-network-analysis-neo4j

A simple demonstration of Social Network Analysis on twitter database and movie database
https://github.com/smsraj2001/social-network-analysis-neo4j

collaborative-filtering content-based-filtering cql cql-queries graph-algorithms graph-database graph-theory neo4j recommendation-system social-network-analysis

Last synced: 20 days ago
JSON representation

A simple demonstration of Social Network Analysis on twitter database and movie database

• Host: GitHub
• URL: https://github.com/smsraj2001/social-network-analysis-neo4j
• Owner: smsraj2001
• Created: 2022-12-31T17:15:39.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-19T15:22:54.000Z (about 2 years ago)
• Last Synced: 2024-11-08T19:12:22.840Z (2 months ago)
• Topics: collaborative-filtering, content-based-filtering, cql, cql-queries, graph-algorithms, graph-database, graph-theory, neo4j, recommendation-system, social-network-analysis
• Homepage:
• Size: 2.09 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# SOCIAL-NETWORK-ANALYSIS-NEO4J

A simple demonstration of Social Network Analysis on movie recommendation and twitter database using ```Cypher Query``` Language in ```Neo4j```

## SYNOPSIS

This project is divided into 2 individual components :-

- Movie Recommendation, and

- Twitter Database

## DESCRIPTION

- The ```Movie Recommendation``` deals with recommendation of movies by creating a database from the shows.csv file and then performing content based filtering and

collaborative based filtering for the recommendation.

- The ```Twitter Database``` deals with content and collaborative based filtering by using this online available database from neo4j website

## INSTRUCTIONS

- ```PART 1 : Movie Recommendation```

  - Create a database in Neo4j browser.

  - In this path ```C:\Users\user_name\.Neo4jDesktop\relate-data\dbmss\name_of_folder_after_database_created\import``` place the shows.csv file attached.

  - Now in Neo4j browser paste the cql commands from movie.cql

- ```PART 2 : Twitter Database```

  - The database is already created and hosted by Neo4j itself. [Click here](https://demo.neo4jlabs.com:7473/browser/?dbms=neo4j://[email protected]&db=twitter)

  - Username : ```twitter``` and Password : ```twitter```

  - Refer to the [REPORT.pdf](https://github.com/smsraj2001/SOCIAL-NETWORK-ANALYSIS-NEO4J/blob/main/Twitter%20Database/REPORT.pdf) for further understanding and contents of the project.

  

#### ```NOTE``` : For any queries/suggestions, please feel free to contact : [email protected]