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
  • Username : twitter and Password : twitter
  • Refer to the REPORT.pdf for further understanding and contents of the project.

NOTE : For any queries/suggestions, please feel free to contact : sutharsanraj2001@gmail.com