2017 IEEE International Conference on Big Data (BIGDATA) Analysis of EXILE TRIBE in the Music Scene Using Mathematical Model of Hit Phenomenon Toshimichi Wakabayashi Yasuko Kawahata Akira Ishii Tottori University Gunma University Tottori University Tottori,Japan Maebashi,Japan Tottori,Japan
[email protected] [email protected] [email protected] Abstract-We performed an analysis of live EXILE TRIBE performances using a mathematical model . EXILE TRIBE is phenomenon represented by several diverse group of artists representing Japan. Therefore, it is an interesting object for analysis. Analysis was carried out using a mathematical model of the hit phenomenon by considering each parameter obtained from Twitter and blog posts concerning EXILE TRIBE live as input. There were some differences in parameters depending on the size of the tour. This paper quantitatively explains changes in the Figure 1. Changes in sales of CDs and concerts: Figures are cited in [5] number of people involved in one concert event and the propagation tendency of rumors as a result. Keywords- Mathematical model of hit phenomenon, Twitter,Blog,EXILE TRIBE I. INTRODUCTION In recent years, use of smartphones and tablet terminals has spread rapidly allowing easy use of Simple Notification Services (SNS) . SNS facilitates information-sharing via social media channels, such as Figure 2. The Sandaime J Soul Brothers audiences Twitter, Blog, and Instagram, in real time [1]. We analyze text messages used to communication on SNS. In conducting the analysis, we use a mathematical model of a hit phenomenon [2-3]. Past research has succeeded in applying mathematical models for predicting the rank of musical group AKB-48 and hit prediction of movies [4].