Graph modeling and analysis of cinema data

Today, data has become an important asset for institutions or organizations. With the rapid developments in the internet environment, cinema data is also growing rapidly and the relationship between these data is becoming increasingly complex. Graph database architecture emphasizes the relationship between entities i the model design of the available data and is an effective tool for modeling data. Graph databases store more complex data and presen it faster than traditional databases. In this study; cinema data and the increasingly complex relationships between these datas will be examined and modeled with the Neo4j graph database. In this way, the relationships between data can be viewed and queried more easily and an easier learning opportunity can be provided. This study shows that the Neo4j graph database provides very successful results in modeling complex data with multiple relationships. Using the Neo4j database to store and manage cinema data appears to make it easier for a cinema website to meet the user's needs and interests. Successful results were obtained by graph modeling and analysis by taking into account variables such as the name of the cinema, year, director, actors, revenue of the movie, number of audience and type of movie.