The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries

Wenlan Zhang; Miguel Nunez del Prado; Vincent Gauthier; Sveta Milusheva

The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries

Networking and Internet Architecture 2024-10-04 v2 Computers and Society Social and Information Networks

Authors: Wenlan Zhang , Miguel Nunez del Prado , Vincent Gauthier , Sveta Milusheva

Abstract

The NetMob24 dataset offers a unique opportunity for researchers from a range of academic fields to access comprehensive spatiotemporal data sets spanning four countries (India, Mexico, Indonesia, and Colombia) over the course of two years (2019 and 2020). This dataset, developed in collaboration with Cuebiq (Also referred to as Spectus), comprises privacy-preserving aggregated data sets derived from mobile application (app) data collected from users who have voluntarily consented to anonymous data collection for research purposes. It is our hope that this reference dataset will foster the production of new research methods and the reproducibility of research outcomes.

Keywords

mobile data population density origin-destination matrices LMIC spatiotemporal analysis

Cite

@article{arxiv.2410.00453,
  title  = {The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries},
  author = {Wenlan Zhang and Miguel Nunez del Prado and Vincent Gauthier and Sveta Milusheva},
  journal= {arXiv preprint arXiv:2410.00453},
  year   = {2024}
}

The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries

Abstract

Keywords

Cite

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