• DocumentCode
    655139
  • Title

    App Analytic: A Study on Correlation Analysis of App Ranking Data

  • Author

    Sun-Young Ihm ; Woong-Kee Loh ; Young-Ho Park

  • Author_Institution
    Dept. of Multimedia Sci., Sookmyung Women´s Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    Sept. 30 2013-Oct. 2 2013
  • Firstpage
    561
  • Lastpage
    563
  • Abstract
    In recent years, app store and android market have experienced a significant growth in terms of app numbers. Since we discover 85% of apps through the ranks, it is important to develop effective app ranking analyzing tools. In this paper, we present a method called App Analytic. In our method, we explore correlations of app ranking data about popular social networking sites. Specifically, we analyze correlations between various characteristics of social networking sites on Internet and android market. The results of correlation analysis reveal that there is a strong positive correlation of the number of app downloads with the number of registered users and page rank. We also provide an in-depth analysis on the major factors that impact the correlations.
  • Keywords
    Android (operating system); Internet; data analysis; social networking (online); App Analytic; App ranking analyzing tools; App ranking data; App store; Internet; android market; correlation analysis; social networking sites; Androids; Correlation; Humanoid robots; Internet; Smart phones; Social network services; Software; R statistical software; app ranking data; correlation analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Green Computing (CGC), 2013 Third International Conference on
  • Conference_Location
    Karlsruhe
  • Type

    conf

  • DOI
    10.1109/CGC.2013.95
  • Filename
    6686087