Human mobility: Models and applications

H Barbosa, M Barthelemy, G Ghoshal, CR James… - Physics Reports, 2018 - Elsevier
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

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 …

A multi-source dataset of urban life in the city of Milan and the Province of Trentino

G Barlacchi, M De Nadai, R Larcher, A Casella… - Scientific data, 2015 - nature.com
The study of socio-technical systems has been revolutionized by the unprecedented amount
of digital records that are constantly being produced by human activities such as accessing …

Trajectory recovery from ash: User privacy is not preserved in aggregated mobility data

F Xu, Z Tu, Y Li, P Zhang, X Fu, D ** - Proceedings of the 26th …, 2017 - dl.acm.org
Human mobility data has been ubiquitously collected through cellular networks and mobile
applications, and publicly released for academic research and commercial purposes for the …

Computational socioeconomics

J Gao, YC Zhang, T Zhou - Physics Reports, 2019 - Elsevier
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Machine learning at the edge: A data-driven architecture with applications to 5G cellular networks

M Polese, R Jana, V Kounev, K Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy
the ultra-low latency demand of future applications. In this paper, we argue that such …

[HTML][HTML] Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Bei**g, China

X Xu, J Wang, S Poslad, X Rui, G Zhang… - International Journal of …, 2023 - Elsevier
In recent years, the emergence of dockless bike-sharing has brought new ways of
transportation, while also providing support for observing urban dynamics at a finer …

TRANSIT: Fine-grained human mobility trajectory inference at scale with mobile network signaling data

L Bonnetain, A Furno, NE El Faouzi, M Fiore… - … Research Part C …, 2021 - Elsevier
Call detail records (CDR) collected by mobile phone network providers have been largely
used to model and analyze human-centric mobility. Despite their potential, they are limited in …

[책][B] Twitter as data

ZC Steinert-Threlkeld - 2018 - cambridge.org
The rise of the internet and mobile telecommunications has created the possibility of using
large datasets to understand behavior at unprecedented levels of temporal and geographic …

[HTML][HTML] Electricity consumption and household characteristics: Implications for census-taking in a smart metered future

B Anderson, S Lin, A Newing, AB Bahaj… - … , Environment and Urban …, 2017 - Elsevier
This paper assesses the feasibility of determining key household characteristics based on
temporal load profiles of household electricity demand. It is known that household …