Browse > Article
http://dx.doi.org/10.14400/JDC.2016.14.5.309

Music Listening Behavior analysis of Twitter User and A Comparative Study of Domestic Music Ranking  

Yoo, Young-Seok (Department of Computer Engineering, Daejin University)
Sohn, Bang-Yong (Department of Computer Engineering, Daejin University)
Publication Information
Journal of Digital Convergence / v.14, no.5, 2016 , pp. 309-316 More about this Journal
Abstract
While consumption patterns have changed online music, online music platform began to emerge. While people prefer popular music recommendation, they use the online music platform chart or use the SNS Platform to share information. Online platform Ranking is different because of different properties held by members. Meanwhile, we need music charts characteristics of SNS users. So there were a lot of attempts to chart a comprehensive variety of platforms. And continue to emerge theses linking the musical characteristics and SNS. In this paper, We have developed a new chart using the behavior of Twitter Users who listen to music, and studies comparing the results with existing chart.
Keywords
Music Platform; Hashtag; Twitter; SNS; Chart;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 H. G. Kang, "Music Pattern Analysis of K-POP", Journal of the Korea Convergence Society, Vol. 11, No. 3, pp. 95-100, 2013.
2 SK Planet Developers : https://developers.skplanetx.com/apidoc/kor/melon/chart, September 1, 2015.
3 H. Y. Chan, "Analysis of Opinion Social Data on the SNS by analyzing of Collective Damage Reply", Journal of the Korea Convergence Society, Vol. 11, No. 5, pp. 41-51, 2013.
4 D. I. Tag, "A Study on The Influence of Convergence Benefit of Facebook Fan Page in Brand Attachment and Brand Commitment", Journal of the Korea Convergence Society, Vol. 6, No. 5, pp. 199-206, 2015.   DOI
5 Twitter Information Center-Hashtag : http://support.twitter.com/articles/402995, September 1, 2015.
6 J. S. Lee, "A Study on the Data mining preprocessing Tool For Efficient database marketing", Journal of the Korea Convergence Society, Vol. 12, No. 11, pp. 257-264, 2014.
7 The R Project for Statistical Computing : https://www.r-project.org, September 1, 2015.
8 H. W. Kwak, "Why Twitter is a social network", 2011.
9 Y. K. Kim, "Crowds vs. Broadcasters: Predicting Billboard Rank Using Characteristic of Music Listening Behavior in Twitter", 2015.
10 K. H. Choi, "A reviews on the social network analysis using R", Journal of the Korea Convergence Society, Vol. 6, No. 1, pp. 77-83, 2015.   DOI
11 D. H. Byun, "Method for Selecting a Big Data Package", Journal of the Korea Convergence Society, Vol. 11, No. 10, pp. 47-57, 2013.
12 twitteR : http://cran.nexr.com/web/packages/twitteR /index.html, September 1, 2015.
13 Twitter developers : https://dev.twitter.com, September 1, 2015.
14 Y. M. Kim, "A Study on plan for promoting innovation and utilization of information sharing", Journal of the Korea Convergence Society, Vol. 12, No. 4, pp. 43-49, 2014.
15 The JSON Data Interchange Format : http://www.json.org, September 1, 2015.
16 Extensible Markup Language(XML) : http://www.w3.org/XML, September 1, 2015.
17 IBM Knowledgecenter-One way ANOVA : http://www-01.ibm.com/support/knowledgecenter/SSLVMB_20.0.0/com.ibm.spss.statistics.help/idh_onew.htm?lang=ko, September 1, 2015.
18 IBM Knowledgecenter-Bivariate Correlations : http://www-01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/idh_corr.htm?lang=ko, September 1, 2015.
19 J. H. Choi, "A Study on the Correlation of Agendas between Politicians' Twitters and traditional News Media", 2011.
20 Korean Click, "October to December 2013 Total PC/Mobile(Web + APP) service status using online sources", 2014.
21 H. Y. Kim, "Domestic and international SNS status and sociological implications", pp. 19-42, KISDI, 2012.