Paper Info
Title
A Descriptive Analysis of a Large-Scale Collection of App Management Activities
Abstract
Smartphone users adopt an increasing number of mobile applications (a.k.a., apps) in the recent years. Investigating how people manage mobile apps in their everyday lives creates a unique opportunity to understand the behaviors and preferences of mobile users. Existing literature provides very limited understanding about app management activities, due to the lack of user behavioral data at scale. This paper analyzes a very large collection of app management log of the users of a leading Android app marketplace in China. The data set covers one month of detailed activities of how users download, update, and uninstall the apps on their smart devices, involving 8,306,181 anonymized users and 394,661 apps. We characterize how these users manage the apps on their devices and identify behavioral patterns that correlate with users' online ratings of the apps.
Year
DOI
Venue
2015
10.1145/2740908.2742771
WWW (Companion Volume)
Keywords
Field
DocType
mobile computing, app management activities, user behavior analysis
Mobile computing,Behavioral pattern,Android app,Descriptive statistics,World Wide Web,Internet privacy,Computer science,Download,Behavioral data,Mobile apps
Conference
Citations 
PageRank 
References 
6
0.42
2
Authors
5
Name
Order
Citations
PageRank
Huoran Li1835.52
xuanzhe liu216713.94
Wei Ai3534.44
Qiaozhu Mei44395207.09
Feng Feng5814.06