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Scaling and correlation of human movements in cyberspace and physical space


Abstract 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. We develop a model incorporating two essential ingredients, preferential return and exploration, and show that these are necessary for generating the scaling relation extracted from ... (more)
Created Date 2014-11-12
Contributor Zhao, Zhidan (ASU author) / Huang, Zi-Gang (ASU author) / Huang, Liang (ASU author) / Liu, Huan (ASU author) / Lai, Ying-Cheng (ASU author) / Ira A. Fulton Schools of Engineering / School of Electrical, Computer and Energy Engineering / College of Liberal Arts and Sciences / Department of Physics
Series PHYSICAL REVIEW E
Type Text
Extent 5 pages
Language English
Identifier DOI: 10.1103/PhysRevE.90.050802 / ISSN: 2470-0053 / ISSN: 2470-0045
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Citation 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
Note Copyright 2014 by the American Physical Society. View the article as published at http://dx.doi.org/10.1103/PhysRevE.90.050802
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


  Scaling and correlation of human movements in cyberspace and physical space
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