Description

Understanding the dynamics of human movements is key to issues of significant current interest such as behavioral prediction, recommendation, and control of epidemic spreading. We collect and analyze big data

Understanding the dynamics of human movements is key to issues of significant current interest such as behavioral prediction, recommendation, and control of epidemic spreading. We collect and analyze big data sets of human movements in both cyberspace (through browsing of websites) and physical space (through mobile towers) and find a superlinear scaling relation between the mean frequency of visit〈f〉and its fluctuation σ : σ ∼〈f⟩[superscript β] with β ≈ 1.2. The probability distribution of the visiting frequency is found to be a stretched exponential function.

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Date Created
  • 2014-11-12
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  • Text
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    Identifier
    • Digital object identifier: 10.1103/PhysRevE.90.050802
    • Identifier Type
      International standard serial number
      Identifier Value
      2470-0053
    • Identifier Type
      International standard serial number
      Identifier Value
      2470-0045
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    Zhao, Zhi-Dan, Huang, Zi-Gang, Huang, Liang, Liu, Huan, & Lai, Ying-Cheng (2014). Scaling and correlation of human movements in cyberspace and physical space. PHYSICAL REVIEW E, 90(5), 0-0. http://dx.doi.org/10.1103/PhysRevE.90.050802

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