"What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage

被引:43
作者
Li, Tong [1 ,2 ]
Zhang, Mingyang [2 ]
Cao, Hancheng [3 ]
Li, Yong [4 ]
Tarkoma, Sasu [1 ]
Hui, Pan [1 ,2 ]
机构
[1] Univ Helsinki, Helsinki, Finland
[2] HKUST, Hong Kong, Peoples R China
[3] Stanford Univ, Stanford, CA 94305 USA
[4] Tsinghua Univ, Beijing, Peoples R China
来源
WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020) | 2020年
基金
芬兰科学院; 北京市自然科学基金;
关键词
App usage; App categories; Google play; Long-term evolution;
D O I
10.1145/3366423.3380095
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The prevalence of smartphones has promoted the popularity of mobile apps in recent years. Although significant effort has been made to understand mobile app usage, existing studies are based primarily on short-term datasets with limited time span, e.g., a few months. Therefore, many basic facts about the long-term evolution of mobile app usage are unknown. In this paper, we study how mobile app usage evolves over a long-term period. We first introduce an app usage collection platform named carat, from which we have gathered app usage records of 1,465 users from 2012 to 2017. We then conduct the first study on the long-term evolution processes on a macro-level, i.e., app-category, and micro-level, i.e., individual app. We discover that, on both levels, there is a growth stage enabled by the introduction of new technologies. Then there is a plateau stage caused by high correlations between app categories and a pareto effect in individual app usage, respectively. Additionally, the evolution of individual app usage undergoes an elimination stage due to fierce intra-category competition. Nevertheless, the diverseness of app-category and individual app usage exhibit opposing trends: app-category usage assimilates while individual app usage diversifies. Our study provides useful implications for app developers, market intermediaries, and service providers.
引用
收藏
页码:66 / 76
页数:11
相关论文
共 28 条
[1]  
Bohmer M., 2013, Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication. UbiComp, P1423, DOI DOI 10.1145/2494091.2496038
[2]   How do Apps Evolve in Their Permission Requests? A Preliminary Study [J].
Calciati, Paolo ;
Gorla, Alessandra .
2017 IEEE/ACM 14TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2017), 2017, :37-41
[3]   A Longitudinal Study of the Google App Market [J].
Carbunar, Bogdan ;
Potharaju, Rahul .
PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015), 2015, :242-249
[4]  
Do T.-M.-T., 2010, P 9 INT C MOB UB MUL, P1, DOI [DOI 10.1145/1899475.1899502, 10.1145/1899475.1899502]
[5]  
Falaki Hossein., 2010, Diversity in smartphone usage, P179, DOI DOI 10.1145/1814433.1814453
[6]   The WWW (and an H) of Mobile Application Usage in the City The What, Where, When, and How [J].
Graells-Garrido, Eduardo ;
Caro, Diego ;
Miranda, Omar ;
Schifanella, Rossano ;
Peredo, Oscar F. .
COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018), 2018, :1221-1229
[7]  
Gray RM, 2011, ENTROPY AND INFORMATION THEORY , SECOND EDITION, P395, DOI 10.1007/978-1-4419-7970-4
[8]   Revisitation in urban space vs. Online: A comparison across POIs, websites, and smartphone apps [J].
Cao, Hancheng ;
Chen, Zhilong ;
Xu, Fengli ;
Li, Yong ;
Kostakos, Vassilis .
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018, 2 (04)
[9]  
Huandong Wang, 2019, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, V3, DOI 10.1145/3314414
[10]   Understanding Usage States on Mobile Devices [J].
Jesdabodi, Chakajkla ;
Maalej, Walid .
PROCEEDINGS OF THE 2015 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING (UBICOMP 2015), 2015, :1221-1225