Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms

Tri Puspa Rinjeni; Sri Suci Indasari; Ade Indriawan; Nur Aini Rakhmawati

doi:10.1109/IES55876.2022.9888338

Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms

Tri Puspa Rinjeni
, Sri Suci Indasari
, Ade Indriawan
, Nur Aini Rakhmawati

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	IES 2022 - 2022 International Electronics Symposium
Subtitle of host publication	Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding
Editors	Andhik Ampuh Yunanto, Yanuar Risah Prayogi, Putu Agus Mahadi Putra, Hendhi Hermawan, Nailussa'ada Nailussa'ada, Maretha Ruswiansari, Mohamad Ridwan, Farida Gamar, Afifah Dwi Ramadhani, Weny Mistarika Rahmawati, Muhammad Rizani Rusli
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	380-386
Number of pages	7
ISBN (Electronic)	9781665489713
DOIs	https://doi.org/10.1109/IES55876.2022.9888338
Publication status	Published - 2022
Event	24th International Electronics Symposium, IES 2022 - Surabaya, Indonesia Duration: 9 Aug 2022 → 11 Aug 2022

Publication series

Name	IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding

Conference

Conference	24th International Electronics Symposium, IES 2022
Country/Territory	Indonesia
City	Surabaya
Period	9/08/22 → 11/08/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Centrality algorithms
Community detection
DBpedia
Federated SPARQL Query
Knowledge graph
Movie genre
Wikidata

Access to Document

10.1109/IES55876.2022.9888338

Cite this

Rinjeni, T. P., Indasari, S. S., Indriawan, A., & Rakhmawati, N. A. (2022). Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms. In A. A. Yunanto, Y. R. Prayogi, P. A. M. Putra, H. Hermawan, N. Nailussa'ada, M. Ruswiansari, M. Ridwan, F. Gamar, A. D. Ramadhani, W. M. Rahmawati, & M. R. Rusli (Eds.), IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding (pp. 380-386). (IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IES55876.2022.9888338

Rinjeni, Tri Puspa ; Indasari, Sri Suci ; Indriawan, Ade et al. / Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms. IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding. editor / Andhik Ampuh Yunanto ; Yanuar Risah Prayogi ; Putu Agus Mahadi Putra ; Hendhi Hermawan ; Nailussa'ada Nailussa'ada ; Maretha Ruswiansari ; Mohamad Ridwan ; Farida Gamar ; Afifah Dwi Ramadhani ; Weny Mistarika Rahmawati ; Muhammad Rizani Rusli. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 380-386 (IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding).

@inproceedings{8da847113e704f3482a865de0eedc0fb,

title = "Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms",

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.",

keywords = "Centrality algorithms, Community detection, DBpedia, Federated SPARQL Query, Knowledge graph, Movie genre, Wikidata",

author = "Rinjeni, \{Tri Puspa\} and Indasari, \{Sri Suci\} and Ade Indriawan and Rakhmawati, \{Nur Aini\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 24th International Electronics Symposium, IES 2022 ; Conference date: 09-08-2022 Through 11-08-2022",

year = "2022",

doi = "10.1109/IES55876.2022.9888338",

language = "English",

series = "IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "380--386",

editor = "Yunanto, \{Andhik Ampuh\} and Prayogi, \{Yanuar Risah\} and Putra, \{Putu Agus Mahadi\} and Hendhi Hermawan and Nailussa'ada Nailussa'ada and Maretha Ruswiansari and Mohamad Ridwan and Farida Gamar and Ramadhani, \{Afifah Dwi\} and Rahmawati, \{Weny Mistarika\} and Rusli, \{Muhammad Rizani\}",

booktitle = "IES 2022 - 2022 International Electronics Symposium",

address = "United States",

}

Rinjeni, TP, Indasari, SS, Indriawan, A & Rakhmawati, NA 2022, Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms. in AA Yunanto, YR Prayogi, PAM Putra, H Hermawan, N Nailussa'ada, M Ruswiansari, M Ridwan, F Gamar, AD Ramadhani, WM Rahmawati & MR Rusli (eds), IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding. IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 380-386, 24th International Electronics Symposium, IES 2022, Surabaya, Indonesia, 9/08/22. https://doi.org/10.1109/IES55876.2022.9888338

Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms. / Rinjeni, Tri Puspa; Indasari, Sri Suci; Indriawan, Ade et al.
IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding. ed. / Andhik Ampuh Yunanto; Yanuar Risah Prayogi; Putu Agus Mahadi Putra; Hendhi Hermawan; Nailussa'ada Nailussa'ada; Maretha Ruswiansari; Mohamad Ridwan; Farida Gamar; Afifah Dwi Ramadhani; Weny Mistarika Rahmawati; Muhammad Rizani Rusli. Institute of Electrical and Electronics Engineers Inc., 2022. p. 380-386 (IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 - https://www.scopus.com/pages/publications/85139712146

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 -

Rinjeni TP, Indasari SS, Indriawan A, Rakhmawati NA. Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms. In Yunanto AA, Prayogi YR, Putra PAM, Hermawan H, Nailussa'ada N, Ruswiansari M, Ridwan M, Gamar F, Ramadhani AD, Rahmawati WM, Rusli MR, editors, IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding. Institute of Electrical and Electronics Engineers Inc. 2022. p. 380-386. (IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding). doi: 10.1109/IES55876.2022.9888338

Movies Analysis on DBpedia and Wikidata Using Community Detection and Centrality Algorithms

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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