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
         
        
        
            fDate : 
Sept. 30 2013-Oct. 2 2013
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Cloud and Green Computing (CGC), 2013 Third International Conference on
         
        
            Conference_Location : 
Karlsruhe
         
        
        
            DOI : 
10.1109/CGC.2013.95