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A Study on the Prediction Index for Chart Success of Digital Music Contents based on Analysis of Social Data
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소셜 데이터 분석을 통한 음원 흥행 예측 지표 연구

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Type
Academic journal
Author
Ga-Yeon Kim (이화여자대학교) Myoung-Jun Kim (이화여자대학교)
Journal
Digital Contents Society Journal of Digital Contents Society Vol.19 No.6 KCI Accredited Journals
Published
2018.6
Pages
1,105 - 1,114 (10page)
DOI
10.9728/dcs.2018.19.6.1105

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A Study on the Prediction Index for Chart Success of Digital Music Contents based on Analysis of Social Data
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Abstract· Keywords

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The growth rate of the domestic digital music contents market has been remarkable recently. Accordingly, the necessity of prediction for chart success of digital music contents has grown. This paper proposes prediction indexes for chart success of digital music contents through analysis of correlation between social data such as Internet news, SNS and entry rankings in Melon’s weekly music charts. We collected a total of 10 social data items for each male and female artist, and executed cluster analysis. Through this, we found meaningful prediction indexes for chart success of digital music contents for each male and female artist.
#디지털 음악 콘텐츠 #K-Pop #흥행예측 #음원차트 #소셜 데이터 #Digital Music Contents #K-Pop #Prediction of Success #Music Chart #Social Data

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 국내 음원 시장의 동향
Ⅲ. 소셜 데이터 분석을 통한 음원 흥행 예측
Ⅳ. 결론
참고문헌

References (14)

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[인터넷자원] - The Kyunghyang Shinmun / 0000 / Apple Music landed in Korea.. There is a long way to go [Internet] google schola [인터넷자원] - The Daily Sports / 0000 / Record vs Digital music content, which one is the measure of popularity [Internet] google schola [인터넷자원] - The Herald Business / 0000 / All songs were successful.. JYP's eye-catching music production system [Internet] google schola [학술지(정기간행물)] - 권선주 / 2014 / 영화 흥행성과의 분석과 예측: 뉴스와 웹사이트 데이터 이용 / 문화경제연구 17 (1) : 35 ~ 56 dbpia [학술지(정기간행물)] - 이오준 / 2014 / 소셜 빅데이터를 이용한 영화 흥행 요인 분석 / 한국콘텐츠학회 논문지 14 (10) : 527 ~ 538 dbpia

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UCI(KEPA) : I410-ECN-0101-2018-004-003110599