[PDF][PDF] A survey of results on mobile phone datasets analysis

VD Blondel, A Decuyper, G Krings - EPJ data science, 2015 - Springer
In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

Large-scale mobile traffic analysis: a survey

D Naboulsi, M Fiore, S Ribot… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …

Big data driven mobile traffic understanding and forecasting: A time series approach

F Xu, Y Lin, J Huang, D Wu, H Shi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Understanding and forecasting mobile traffic of large scale cellular networks is extremely
valuable for service providers to control and manage the explosive mobile data, such as …

Diversity in smartphone usage

H Falaki, R Mahajan, S Kandula… - Proceedings of the 8th …, 2010 - dl.acm.org
Using detailed traces from 255 users, we conduct a comprehensive study of smartphone
use. We characterize intentional user activities--interactions with the device and the …

Identifying diverse usage behaviors of smartphone apps

Q Xu, J Erman, A Gerber, Z Mao, J Pang… - Proceedings of the …, 2011 - dl.acm.org
Smartphone users are increasingly shifting to using apps as" gateways" to Internet services
rather than traditional web browsers. App marketplaces for iOS, Android, and Windows …

Anonymization of location data does not work: A large-scale measurement study

H Zang, J Bolot - Proceedings of the 17th annual international …, 2011 - dl.acm.org
We examine a very large-scale data set of more than 30 billion call records made by 25
million cell phone users across all 50 states of the US and attempt to determine to what …

Understanding the impact of personality traits on mobile app adoption–Insights from a large-scale field study

R Xu, RM Frey, E Fleisch, A Ilic - Computers in Human Behavior, 2016 - Elsevier
The sheer amount of available apps allows users to customize smartphones to match their
personality and interests. As one of the first large-scale studies, the impact of personality …

A first look at traffic on smartphones

H Falaki, D Lymberopoulos, R Mahajan… - Proceedings of the 10th …, 2010 - dl.acm.org
Using data from 43 users across two platforms, we present a detailed look at smartphone
traffic. We find that browsing contributes over half of the traffic, while each of email, media …

LiveLab: measuring wireless networks and smartphone users in the field

C Shepard, A Rahmati, C Tossell, L Zhong… - ACM SIGMETRICS …, 2011 - dl.acm.org
We present LiveLab, a methodology to measure real-world smartphone usage and wireless
networks with a reprogrammable indevice logger designed for long-term user studies. We …

Anatomizing application performance differences on smartphones

J Huang, Q Xu, B Tiwana, ZM Mao, M Zhang… - Proceedings of the 8th …, 2010 - dl.acm.org
The use of cellular data networks is increasingly popular due to the widespread deployment
of 3G technologies and the rapid adoption of smartphones, such as iPhone and GPhone …