Reconstructing commuters network using machine learning and urban indicators

@article{Spadon2019ReconstructingCN,
  title={Reconstructing commuters network using machine learning and urban indicators},
  author={Gabriel Spadon and Andr{\'e} Carlos Ponce de Leon Ferreira de Carvalho and Jos{\'e} F. Rodrigues and Luiz G. A. Alves},
  journal={Scientific Reports},
  year={2019},
  volume={9}
}
Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of diseases and crime. Representing the system as a complex network, in which nodes are assigned to regions (e.g., a city) and links indicate the flow of people between two of them, physics-inspired models have been proposed to quantify the number of people migrating from one city to the other. Despite the advances made by these models, our ability to predict the… 

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