TY - GEN
T1 - Characterizing smartphone usage patterns from millions of android users
AU - Li, Huoran
AU - Lu, Xuan
AU - Liu, Xuanzhe
AU - Xie, Tao
AU - Bian, Kaigui
AU - Lin, Felix Xiaozhu
AU - Mei, Qiaozhu
AU - Feng, Feng
N1 - This work was supported by the National Basic Research Program (973) of China under Grant No. 2014CB347701, the Natural Science Foundation of China (Grant No. 61370020, 61421091, 61222203, 61572051, 61528201). Tao Xie''s work was supported in part by National Science Foundation under grants no. CCF-1349666, CCF-1409423, CNS-1434582, CCF-1434590, CCF-1434596, CNS-1439481, and CNS-1513939. Qiaozhu Mei''s work was supported in part by the National Science Foundation under grant no. IIS-1054199.
PY - 2015/10/28
Y1 - 2015/10/28
N2 - 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.
AB - 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.
KW - Android apps
KW - App management
KW - App performance
KW - App popularity
KW - App stores
UR - https://www.scopus.com/pages/publications/84954117175
UR - https://www.scopus.com/pages/publications/84954117175#tab=citedBy
U2 - 10.1145/2815675.2815686
DO - 10.1145/2815675.2815686
M3 - Conference contribution
AN - SCOPUS:84954117175
T3 - Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC
SP - 459
EP - 472
BT - IMC 2015 - Proceedings of the 2015 ACM Internet Measurement Conference
PB - Association for Computing Machinery
T2 - ACM Internet Measurement Conference, IMC 2015
Y2 - 28 October 2015 through 30 October 2015
ER -