Measuring The “Impact” of People, Films, And TV using the IMDb Graph Database
Griffin Maxwell, Michael Kronmueller, Dar-Jen Chang, Ahmed H. Desoky · 2021
In this paper, we use Neo4j, a popular graph database, to store a version of the Internet Movie Database (IMDB) dataset, which is a real-world dataset. The graph database provides persistent availability for users to retrieve data using Neo4j Graph Query Language called cypher, for many applications. Users can use Neo4j clients such as Python and R together with cypher and server plugins such as APOC and graph algorithm library to explore the dataset. We explain the basic concepts and applications of cypher graph pattern language to measure the impact of people, title, and TV episodes.