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Showing 1–15 of 15 results
Advanced filters: Author: Chaoming Song Clear advanced filters

  • This paper presents a statistical description of jammed states in which random close packing can be interpreted as the ground state of the ensemble of jammed matter. The approach demonstrates that random packings of hard spheres in three dimensions cannot exceed a limit of ∼63.4 per cent. A phase diagram provides a common view of the hard sphere packing problem and illuminates various data, including the random loose packing state.

    • Chaoming Song
    • Ping Wang
    • Hernán A. Makse
    Research
    Nature
    Volume: 453, P: 629-632

  • Urban space forms nested hierarchies: neighborhoods are embedded within cities, which in turn are part of larger regions. This study finds that as individuals travel farther from home, they explore decreasingly larger areas around their new locations.

    • Lu Zhong
    • Lei Dong
    • Jianxi Gao
    Research
    Nature Cities
    Volume: 2, P: 603-607

  • Extensive data sets of trajectories of mobile-phone users provide a new basis for modelling human mobility. Random-walk models can capture some aspects, but go only so far. Now, two governing principles for human mobility are proposed, exploration and preferential return, paving the way to a more appropriate microscopic model for individual human motion.

    • Chaoming Song
    • Tal Koren
    • Albert-László Barabási
    Research
    Nature Physics
    Volume: 6, P: 818-823

  • Jin et al. find that early growth patterns in substitutive systems follow power laws rather than exponentials. Big data analyses reveal key mechanisms governing substitutions, helping to explain the observed power-law early growth.

    • Ching Jin
    • Chaoming Song
    • Dashun Wang
    Research
    Nature Human Behaviour
    Volume: 3, P: 837-846

  • The study shows that a memory-aware and socially coupled human movement model can reproduce urban growth patterns at the macro level, providing a bottom-up approach to understand urban growth and to reveal its connection to human mobility behavior.

    • Fengli Xu
    • Yong Li
    • Chaoming Song
    Research
    Nature Computational Science
    Volume: 1, P: 791-800

  • Xu et al. review applications of urban mobility behaviour data and propose a temporal bipartite network that reveals mobility patterns between people and places. It helps to track urban inequalities in social mixing, facility access and adaptation.

    • Fengli Xu
    • Qi Wang
    • James Evans
    Reviews
    Nature Human Behaviour
    Volume: 9, P: 654-664

  • The career trajectories of around 30,000 artists, film directors and scientists show that individuals in each domain have ‘hot streaks’ during which their works have increased impact, despite showing no increase in productivity.

    • Lu Liu
    • Yang Wang
    • Dashun Wang
    Research
    Nature
    Volume: 559, P: 396-399