loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shahab Mokarizadeh ; Mohammad Tafiqur Rahman and Mihhail Matskin

Affiliation: Royal Institute of Technology (KTH), Sweden

Keyword(s): Android Apps, Software Repository, Correlation Analysis, Topic Modeling.

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 ana lysis 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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.146.65.212

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (WEBIST 2013) - BA; ISBN 978-989-8565-54-9; ISSN 2184-3252, SciTePress, pages 527-535. DOI: 10.5220/0004502005270535

@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 (WEBIST 2013) - BA},
year={2013},
pages={527-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004502005270535},
isbn={978-989-8565-54-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies (WEBIST 2013) - BA
TI - Mining and Analysis of Apps in Google Play
SN - 978-989-8565-54-9
IS - 2184-3252
AU - Mokarizadeh, S.
AU - Rahman, M.
AU - Matskin, M.
PY - 2013
SP - 527
EP - 535
DO - 10.5220/0004502005270535
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic