Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms
Tri Puspa Rinjeni, Sri Suci Indasari, Ade Indriawan, Nur Aini Rakhmawati · 2022 International Electronics Symposium (IES) · 2022
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.