TY - GEN
T1 - Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms
AU - Rinjeni, Tri Puspa
AU - Indasari, Sri Suci
AU - Indriawan, Ade
AU - Rakhmawati, Nur Aini
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Centrality algorithms
KW - Community detection
KW - DBpedia
KW - Federated SPARQL Query
KW - Knowledge graph
KW - Movie genre
KW - Wikidata
UR - http://www.scopus.com/inward/record.url?scp=85139712146&partnerID=8YFLogxK
U2 - 10.1109/IES55876.2022.9888338
DO - 10.1109/IES55876.2022.9888338
M3 - Conference contribution
AN - SCOPUS:85139712146
T3 - IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding
SP - 380
EP - 386
BT - IES 2022 - 2022 International Electronics Symposium
A2 - Yunanto, Andhik Ampuh
A2 - Prayogi, Yanuar Risah
A2 - Putra, Putu Agus Mahadi
A2 - Hermawan, Hendhi
A2 - Nailussa'ada, Nailussa'ada
A2 - Ruswiansari, Maretha
A2 - Ridwan, Mohamad
A2 - Gamar, Farida
A2 - Ramadhani, Afifah Dwi
A2 - Rahmawati, Weny Mistarika
A2 - Rusli, Muhammad Rizani
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Electronics Symposium, IES 2022
Y2 - 9 August 2022 through 11 August 2022
ER -
