Implementasi Closeness Centrality dalam Analisis Penyanyi Indonesia di DBpedia Indonesia

Implementasi Closeness Centrality dalam Analisis Penyanyi Indonesia di DBpedia Indonesia

Indonesian singers have a diverse musical genre. They also origin from several regions in Indonesia. This study analyzes the relationships between singers, genre, and origin of the singer using the Closeness Centrality algorithm. Data are retrieved by using a SPARQL query on DBpedia Indonesia. The g...

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Veröffentlicht in:JISKA (Jurnal Informatika Sunan Kalijaga) 2021-01, Vol.6 (1), p.21-28
Hauptverfasser: Rakhmawati, Nur Aini, Muzakki, Ahmad Naufal, Lazuardi, Luthfi
Format: Artikel
Sprache:eng
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Zusammenfassung:Indonesian singers have a diverse musical genre. They also origin from several regions in Indonesia. This study analyzes the relationships between singers, genre, and origin of the singer using the Closeness Centrality algorithm. Data are retrieved by using a SPARQL query on DBpedia Indonesia. The generated graph produces a density value of 0.01. The results of the Closeness Centrality calculation shows that more than 50% out of 268 singers had scores above 30%.
ISSN:2527-5836
2528-0074
DOI:10.14421/jiska.2021.61-03