Mining and Analysis of Apps in Google Play

Shahab Mokarizadeh, Mohammad Tafiqur Rahman, Mihhail Matskin

2013

Abstract

In this paper, we focus on analyzing Google Play, the largest Android app store that provides a wide collection of data on features (ratings, price and number of downloads) and descriptions related to application functionality. The overall objective of this analysis effort is to provide in-depth insight about intrinsic properties of App repositories in general. This allows us to draw a comprehensive picture of current situation of App market in order to help application developers to understand customers’ desire and attitude and the trend in the market. To this end, we suggest an analysis approach which examines the given collection of Apps in two directions. In the first direction, we measure the correlation between app features while in the second direction we construct cluster of similar applications and then examine their characteristics in association with features of interest. The examined dataset are collected from Google Play (in 2012) and Android Market (in 2011). In our analysis results, we identified a strong correlation between price and number of downloads and similarly between price and participation. Moreover, by employing a probabilistic topic modeling technique and K-means clustering method, we find out that the categorization system of Google Play does not respect properly similarity of applications. We also determined that there is a high competition between App providers producing similar applications.

Paper Citation

in Harvard Style

Mokarizadeh S., Rahman M. and Matskin M. (2013). Mining and Analysis of Apps in Google Play . In Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: BA, (WEBIST 2013) ISBN 978-989-8565-54-9, pages 527-535. DOI: 10.5220/0004502005270535

in Bibtex Style

@conference{ba13,
author={Shahab Mokarizadeh and Mohammad Tafiqur Rahman and Mihhail Matskin},
title={Mining and Analysis of Apps in Google Play},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: BA, (WEBIST 2013)},
year={2013},
pages={527-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004502005270535},
isbn={978-989-8565-54-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: BA, (WEBIST 2013)
TI - Mining and Analysis of Apps in Google Play
SN - 978-989-8565-54-9
AU - Mokarizadeh S.
AU - Rahman M.
AU - Matskin M.
PY - 2013
SP - 527
EP - 535
DO - 10.5220/0004502005270535