Evolution of Mobile App Usage: Understanding Long-Term Trends
Explore the long-term evolution of mobile app usage and market opportunities, focusing on app categories from 2012 to 2017. Learn about the growth of the app economy, user data collection challenges, macro-level trends, and prevalent app categories over time.
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Presentation Transcript
Seminar What Apps Did You Use?": Understanding the What Apps Did You Use?": Understanding the Long Long- -term Evolution of Mobile App Usage term Evolution of Mobile App Usage Li, Tong, Mingyang Zhang, Hancheng Cao, Yong Li, Sasu Tarkoma, and Pan Hui David Wang 2021.05.12
I N T R O D U C T I O N I N T R O D U C T I O N 01 M A C R O M A C R O - - L E V E L L E V E L 02 CONTENT CONTENT M I C R O M I C R O - - L E V E L L E V E L 03 C O N C L U S I O N C O N C L U S I O N 04
Part 1 1 INTRODUCTION App economy growth reaches 6.3 trillion Number of apps reached 2.7 million
I N T R O D U C T I O N Carat An app to collect long-term user data Difficult to collect long-term user data Understand long-term evolution of App Usage Most collections on data are based on short-term
I N T R O D U C T I O N Grasp Market Opportunities Grasp Market Opportunities Improve User Experience Improve User Experience Forecasting Trend Monitoring Track User Preference Increase App Competitivity Why? Understand Maturity of 66 Understand Maturity of 66 Different Category Different Category Motivation Motivation Vast Market Understand Market
Part 2 2 MACRO-LEVEL Focus on App-Category From 2012 - 2017
M A C R O - L E V E L Stage One (2012 - 2014) Used App Categories Increases Stage Two (2014- 2017) Remained Stable Over Time
M A C R O - L E V E L New Technology New Technology Fourth Generation of Mobile Network (4G) Jaccard Distance Jaccard Distance
M A C R O - L E V E L Prior Prevalent App Category Communication Music and Audio Productivity Social Tools Posterior Prevalent App Category Entertainment News and Magazines Photography
M A C R O - L E V E L Growth Rate
M A C R O - L E V E L App is more mature the popularity is more stable
M A C R O - L E V E L No decline stage during the popularity evolution of app categories Irreplaceable
Part 3 3 MICRO-LEVEL Focus on App Usage From 2012 - 2017
M I C R O - L E V E L The proportion of users used up to 150 apps has increase then dropped Unlike Macro-level analysis
M I C R O - L E V E L Dominant Apps in the market Pareto Effect
M I C R O - L E V E L Entropy is used to map centralization of App usage The higher the entropy the lower the centralization of App usage. Comparing trends for two apps Correspond to the trend for all apps
Part 4 4 Conclusion
C o n c l u s i o n The apps with high correlations have a greater chance of gaining popularity in the future. User s app usage indeed changes over time. Growth stage is caused by the release of new technologies. The evolution processes in app category usage and individual app usage are different in terms of popularity distribution, usage diversity, and correlations. Discarding low- quality apps by users caused the elimination stage.
Thank You Any Questions? 2021.05.12
