#2024 #Mobility #Mobile Phone data

Enhancing human mobility research with open and standardized datasets

Authors: Takahiro Yabe, Massimiliano Luca, Kota Tsubouchi, Bruno Lepri, Marta C. Gonzalez & Esteban Moro Publication: Nature Computational Science (2024). doi: 10.1038/s43588-024-00650-3 LINK Abstract: Human mobility research intersects with various disciplines, with profound implications for urban planning, transportation engineering, public health, disaster management, and economic analysis. Here, we discuss the urgent need for open and standardized datasets in the field, including current challenges and lessons from other computational science domains, and propose collaborative efforts to enhance the validity and reproducibility of human mobility research. ...

#2024 #social media #sensors #epidemics

Social media sensors as early signals of influenza outbreaks at scale

Authors: David Martín-Corral, Manuel García-Herranz, Manuel Cebrián & Esteban Moro Publication: EPJ Data Science (2024) 13:43 LINK Abstract: Detecting early signals of an outbreak in a viral process is challenging due to its exponential nature, yet crucial given the benefits to public health it can provide. If available, the network structure where infection happens can provide rich information about the very early stages of viral outbreaks. For example, more central nodes have been used as social network sensors in biological or informational diffusion processes to detect early contagious outbreaks. ...

#2024 #networks #labour markets #economy

Network constraints on worker mobility

Authors: Morgan R. Frank, Esteban Moro, Tobin South, Alex Rutherford, Alex Pentland, Bledi Taska & Iyad Rahwan Publication: Nature Cities, 1, pages 94–104 (2024) LINK Abstract: How do skills shape career mobility and access to cities’ labor markets? Here we model career pathways as an occupation network constructed from the similarity of occupations’ skill requirements within each US city. Using a nationally representative survey and three resume datasets, skill similarity predicts transition rates between occupations and predictions improve with increasingly granular skill data. ...