Urban computing leveraging location-based social network data: a survey

TH Silva, AC Viana, F Benevenuto, L Villas… - ACM Computing …, 2019 - dl.acm.org
Urban computing is an emerging area of investigation in which researchers study cities
using digital data. Location-Based Social Networks (LBSNs) generate one specific type of …

[PDF][PDF] On estimating the predictability of human mobility: the role of routine

DC Teixeira, JM Almeida, AC Viana - EPJ Data Science, 2021 - Springer
Given the difficulties in predicting human behavior, one may wish to establish bounds on our
ability to accurately perform such predictions. In the case of mobility-related behavior, there …

Filling the gaps: On the completion of sparse call detail records for mobility analysis

S Hoteit, G Chen, A Viana, M Fiore - … of the eleventh ACM workshop on …, 2016 - dl.acm.org
Call Detail Records (CDRs) have been widely used in the last decades for studying different
aspects of human mobility. The accuracy of CDRs strongly depends on the user-network …

Mobile data traffic modeling: Revealing temporal facets

EMR Oliveira, AC Viana, KP Naveen, C Sarraute - Computer Networks, 2017 - Elsevier
This paper presents a detailed measurement-driven model of mobile data traffic usage of
smartphone subscribers, using a large-scale dataset collected from a major 3G network in a …

Beauty or beast: human behavioral insights and learning power of federated mobility prediction

JP Esper, AC Viana, JM Almeida - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Mobility patterns are inherently linked to human nature (eg, individual variability, temporal
dynamics, behavioral factors, curiosity, social interaction), making mobility prediction a …

Privacy protection for Wi-Fi location positioning systems

A Boutet, M Cunche - Journal of information security and applications, 2021 - Elsevier
With the democratization of mobile devices embedding different positioning capabilities,
location information is used for a variety of applications. On mobile devices, the geolocation …

Understanding factors that impact Individual mobility prediction with federated learning

JPE Spíndula - 2024 - repositorio.ufmg.br
Os padrões de mobilidade são inerentemente vinculados à natureza humana (por exemplo:
variabilidade individual, dinâmica temporal, fatores comportamentais, curiosidade …

Understanding routine impact on the predictability estimation of human mobility

D Teixeira, JM Almeida, AC Viana - 2021 - inria.hal.science
Given the difficulties in predicting human behavior, one may wish to establish bounds on our
ability to accurately perform such predictions. In the case of mobility-related behavior, there …

[引用][C] Mobile Data Traffic Modeling: Revealing Temporal Facets

[引用][C] Urban Computing Leveraging Location-Based Social Network Data: A Survey Urban Computing Leveraging Location-Based Social Network Data: A Survey