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http://dx.doi.org/10.9728/dcs.2018.19.6.1105

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

Kim, Ga-Yeon (Department of Content Convergence, Ewha Womans University)
Kim, Myoung-Jun (Department of Content Convergence, Ewha Womans University)
Publication Information
Journal of Digital Contents Society / v.19, no.6, 2018 , pp. 1105-1114 More about this Journal
Abstract
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.
Keywords
Digital Music Contents; K-Pop; Prediction of Success; Music Chart; Social Data;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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