What demographic attributes do our digital footprints reveal? A systematic review

J Hinds, AN Joinson - PloS one, 2018 - journals.plos.org
To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

User profiling from their use of smartphone applications: A survey

S Zhao, S Li, J Ramos, Z Luo, Z Jiang, AK Dey… - Pervasive and Mobile …, 2019 - Elsevier
The number and popularity of smartphone applications is rising dramatically. Users install
and use applications depending on their needs and interests. Applications on smartphones …

You are where you go: Inferring demographic attributes from location check-ins

Y Zhong, NJ Yuan, W Zhong, F Zhang… - Proceedings of the eighth …, 2015 - dl.acm.org
User profiling is crucial to many online services. Several recent studies suggest that
demographic attributes are predictable from different online behavioral data, such as users'" …

Another tale of two cities: Understanding human activity space using actively tracked cellphone location data

Y Xu, SL Shaw, Z Zhao, L Yin, F Lu, J Chen… - Geographies of …, 2018 - taylorfrancis.com
Activity space is an important concept in geography. Recent advancements of location-
aware technologies have generated many useful spatiotemporal data sets for studying …

From big smartphone data to worldwide research: The mobile data challenge

JK Laurila, D Gatica-Perez, I Aad, J Blom… - Pervasive and Mobile …, 2013 - Elsevier
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale
research initiative aimed at generating innovations around smartphone-based research, as …

Modelling trip generation using mobile phone data: A latent demographics approach

A Bwambale, CF Choudhury, S Hess - Journal of Transport Geography, 2019 - Elsevier
Traditional approaches to trip generation modelling rely on household travel surveys which
are expensive and prone to reporting errors. On the other hand, mobile phone data, where …

Unveiling spatial epidemiology of HIV with mobile phone data

S Brdar, K Gavrić, D Ćulibrk, V Crnojević - Scientific reports, 2016 - nature.com
An increasing amount of geo-referenced mobile phone data enables the identification of
behavioral patterns, habits and movements of people. With this data, we can extract the …

Gender profiling from a single snapshot of apps installed on a smartphone: An empirical study

S Zhao, Y Xu, X Ma, Z Jiang, Z Luo, S Li… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The integration of the fifth generation (5G) networks and artificial intelligence (AI) benefits to
create a more holistic and better connected ecosystem for industries. User profiling has …

Mining user attributes using large-scale app lists of smartphones

S Zhao, G Pan, Y Zhao, J Tao, J Chen… - IEEE Systems …, 2016 - ieeexplore.ieee.org
Prevalence of smartphones is changing people's lifestyle. Mobile applications (abbr. APPs)
on a smartphone serve as entries for users to access a wide range of services. What APPs …

[HTML][HTML] Social demographics imputation based on similarity in multi-dimensional activity-travel pattern: A two-step approach

B Zhang, S Rasouli, T Feng - Travel Behaviour and Society, 2024 - Elsevier
In response to the absence of demographics in increasingly emerging big data sets, we
propose a novel method for inferring the missing demographic information based on …