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App analytic: A study on correlation analysis of app ranking data
- Authors
- Ihm S.-Y.; Loh W.-K.; Park Y.-H.
- Issue Date
- Sep-2013
- Publisher
- IEEE
- Keywords
- App ranking data; Correlation analysis; R statistical software
- Citation
- 2013 International Conference on Cloud and Green Computing, v.2013-DEC, pp 561 - 563
- Pages
- 3
- Journal Title
- 2013 International Conference on Cloud and Green Computing
- Volume
- 2013-DEC
- Start Page
- 561
- End Page
- 563
- ISSN
- 0000-0000
- 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. © 2013 IEEE.
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