Abstract

The entertainment industry, especially movies, has a wide spectrum of markets. The popularity of the movie can be seen from several aspects, such as actors who play, genres, directors, producers, and opinions. This research aims to conduct movie analysis using community detection and centrality algorithms. The dataset used was taken from DBpedia and Wikidata using Federated SPARQL Query. We detect the community using the Speaker-Listener Label Propagation Algorithm (SLPA). In addition, the study observes the dataset using two centrality algorithms, Closeness and Betweenness. The findings showed that Lincoln is the most popular movie. This movie belongs to the genre of found footage, thriller movie, horror movie, science fiction movie, speculative fiction movie, and pseudo-documentary. The famous actor is Desmond Llewelyn, who played in popular film.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.