Strategies and limitations in app usage and human mobility

M De Nadai, A Cardoso, A Lima, B Lepri, N Oliver - Scientific reports, 2019 - nature.com
Cognition has been found to constrain several aspects of human behaviour, such as the
number of friends and the number of favourite places a person keeps stable over time. This …

MAESP: Mobility aware edge service placement in mobile edge networks

X Zhao, Y Shi, S Chen - Computer Networks, 2020 - Elsevier
Mobile edge networks can provide ultra-low latency by deploying services at the edge of
networks. However, it is impracticable to place services on all the edge servers due to …

Finding spatiotemporal patterns of mobile application usage

T Li, Y Li, T **a, P Hui - IEEE Transactions on Network Science …, 2021 - ieeexplore.ieee.org
Understanding mobile application usage patterns is significant for producing better services
and enriching user experience. The understanding of spatiotemporal patterns of application …

Characterizing and predicting individual traffic usage of mobile application in cellular network

J Wu, M Zeng, X Chen, Y Li, D ** - … of the 2018 ACM International Joint …, 2018 - dl.acm.org
The proliferation of smart devices prompts the explosive usage of mobile applications, which
increases network traffic load. Characterizing the application level traffic patterns from an …

App2Vec: Context-aware application usage prediction

H Wang, Y Li, M Du, Z Li, D ** - ACM Transactions on Knowledge …, 2021 - dl.acm.org
Both app developers and service providers have strong motivations to understand when and
where certain apps are used by users. However, it has been a challenging problem due to …

Large scale measurement and analytics on social groups of device-to-device sharing in mobile social networks

S Wang, Y Zhang, H Wang, Z Huang, X Wang… - Mobile Networks and …, 2018 - Springer
Recently many studies demonstrate that exploiting the Device-to-Device (D2D) content
sharing in offline Mobile Social Networks (MSNs) is a promising solution to offload cellular …

Inferring correlation between user mobility and app usage in massive coarse-grained data traces

Z Lu, Y Feng, W Zhou, X Li, Q Cao - … of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
With the rapid growth in smartphone usage, it has been more and more important to
understand the patterns of mobile data consumption by users. In this paper, we present an …

TrCMP: A dependable app usage inference design for user behavior analysis through cyber-physical parameters

X Zhao, MZA Bhuiyan, L Qi, H Nie, W Tang… - Journal of Systems …, 2020 - Elsevier
Timely and accurate service recommendations can help users improve their quality of life
and efficiency of work. The accuracy of service recommendations often depends on effective …

Spark-based measurement and analysis on offline mobile application market over device-to-device sharing in mobile social networks

Y Zhang, Z Huang, S Wang, X Wang… - 2017 IEEE 23rd …, 2017 - ieeexplore.ieee.org
Recently how to select seeding users with large impacts in social networks has gained more
and more attention in many studies. It has been demonstrated in a number of researches …

Mobile biometrics, replay attacks, and behavior profiling: An empirical analysis of impostor detection

T Neal, D Woodard - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The rise of mobile devices has contributed new biometric modalities which reflect behavioral
tendencies as users interact with the device's services. In this paper, we explore replay …