Characterizing smartphone usage patterns from millions of android users

Huoran Li, Xuan Lu, Xuanzhe Liu, Tao Xie, Kaigui Bian, Felix Xiaozhu Lin, Qiaozhu Mei, Feng Feng

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The prevalence of smart devices has promoted the popularity of mobile applications (a.k.a. apps) in recent years. A number of interesting and important questions remain unanswered, such as why a user likes/dislikes an app, how an app becomes popular or eventually perishes, how a user selects apps to install and interacts with them, how frequently an app is used and how much traffic it generates, etc. This paper presents an empirical analysis of app usage behaviors collected from millions of users of Wandoujia, a leading Android app marketplace in China. The dataset covers two types of user behaviors of using over 0.2 million Android apps, including (1) app management activities (i.e., installation, updating, and uninstallation) of over 0.8 million unique users and (2) app network traffic from over 2 million unique users. We explore multiple aspects of such behavior data and present interesting patterns of app usage. The results provide many useful implications to the developers, users, and disseminators of mobile apps.

Original languageEnglish (US)
Title of host publicationIMC 2015 - Proceedings of the 2015 ACM Internet Measurement Conference
PublisherAssociation for Computing Machinery
Number of pages14
ISBN (Electronic)9781450338486
StatePublished - Oct 28 2015
EventACM Internet Measurement Conference, IMC 2015 - Tokyo, Japan
Duration: Oct 28 2015Oct 30 2015

Publication series

NameProceedings of the ACM SIGCOMM Internet Measurement Conference, IMC


OtherACM Internet Measurement Conference, IMC 2015


  • Android apps
  • App management
  • App performance
  • App popularity
  • App stores

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications


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