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Describing Patterns and Disruptions in Large Scale Mobile App Usage Data

Published: 03 April 2017 Publication History

Abstract

The advertising industry is seeking to use the unique data provided by the increasing usage of mobile devices and mobile applications (apps) to improve targeting and the experience with apps. As a consequence, understanding user behaviours with apps has gained increased interests from both academia and industry. In this paper we study user app engagement patterns and disruptions of those patterns in a data set unique in its scale and coverage of user activity. First, we provide a detailed account of temporal user activity patterns with apps and compare these to previous studies on app usage behavior. Then, in the second part, and the main contribution of this work, we take advantage of the scale and coverage of our sample and show how app usage behavior is disrupted through major political, social, and sports events.

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Cited By

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  • (2023)Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and ScreenshotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580689(1-19)Online publication date: 19-Apr-2023
  • (2022)Variational User Modeling with Slow and Fast FeaturesProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498477(271-279)Online publication date: 11-Feb-2022
  • (2022)To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App UsageIEEE Transactions on Mobile Computing10.1109/TMC.2020.302198721:4(1492-1507)Online publication date: 1-Apr-2022
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Published In

cover image ACM Other conferences
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
April 2017
1738 pages
ISBN:9781450349147

Sponsors

  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 03 April 2017

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Author Tags

  1. app usage
  2. disruption of patterns
  3. user behavior

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  • Research-article

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WWW '17
Sponsor:
  • IW3C2

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WWW '17 Companion Paper Acceptance Rate 164 of 966 submissions, 17%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2023)Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and ScreenshotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580689(1-19)Online publication date: 19-Apr-2023
  • (2022)Variational User Modeling with Slow and Fast FeaturesProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498477(271-279)Online publication date: 11-Feb-2022
  • (2022)To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App UsageIEEE Transactions on Mobile Computing10.1109/TMC.2020.302198721:4(1492-1507)Online publication date: 1-Apr-2022
  • (2022)Smartphone App Usage Analysis: Datasets, Methods, and ApplicationsIEEE Communications Surveys & Tutorials10.1109/COMST.2022.316317624:2(937-966)Online publication date: Oct-2023
  • (2022)Churn in the mobile gaming fieldExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.116277191:COnline publication date: 6-May-2022
  • (2022)Predicting application usage based on latent contextual informationComputer Communications10.1016/j.comcom.2022.06.005192:C(197-209)Online publication date: 1-Aug-2022
  • (2022)Service Placement and ManagementBeyond Edge Computing10.1007/978-3-031-23344-9_11(163-185)Online publication date: 26-Dec-2022
  • (2021)What and How long: Prediction of Mobile App EngagementACM Transactions on Information Systems10.1145/346430140:1(1-38)Online publication date: 8-Sep-2021
  • (2021)Understanding Data Usage Patterns of Geographically Diverse Mobile UsersIEEE Transactions on Network and Service Management10.1109/TNSM.2020.303750318:3(3798-3812)Online publication date: Sep-2021
  • (2021)The Impact of Covid-19 on Smartphone UsageIEEE Internet of Things Journal10.1109/JIOT.2021.30738648:23(16723-16733)Online publication date: 1-Dec-2021
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