App analytic: A study on correlation analysis of app ranking data

Citations

SCOPUS

4

초록

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. © 2013 IEEE.

키워드

App ranking data; Correlation analysis; R statistical software; Android markets; App ranking data; Correlation analysis; In-depth analysis; Major factors; Positive correlations; Social networking sites; Statistical software; Commerce; Correlation methods; Robots; Social networking (online); Application programs
제목
App analytic: A study on correlation analysis of app ranking data
저자
Ihm, Sun-Young; Loh, Woong-Kee; Park, Young-Ho
DOI
10.1109/CGC.2013.95
발행일
2013-09
유형
Conference Paper
저널명
2013 International Conference on Cloud and Green Computing
권
2013-DEC
페이지
561 ~ 563