Spatiotemporal property and predictability of large-scale human mobility

Hai-Tao Zhang, Tao Zhu, Dongfei Fu, Bowen Xu, Xiao-Pu Han and Duxin Chen

Physica A: Statistical Mechanics and its Applications, 2018, vol. 495, issue C, 40-48

Abstract: Spatiotemporal characteristics of human mobility emerging from complexity on individual scale have been extensively studied due to the application potential on human behavior prediction and recommendation, and control of epidemic spreading. We collect and investigate a comprehensive data set of human activities on large geographical scales, including both websites browse and mobile towers visit. Numerical results show that the degree of activity decays as a power law, indicating that human behaviors are reminiscent of scale-free random walks known as Lévy flight. More significantly, this study suggests that human activities on large geographical scales have specific non-Markovian characteristics, such as a two-segment power-law distribution of dwelling time and a high possibility for prediction. Furthermore, a scale-free featured mobility model with two essential ingredients, i.e., preferential return and exploration, and a Gaussian distribution assumption on the exploration tendency parameter is proposed, which outperforms existing human mobility models under scenarios of large geographical scales.

Keywords: Human behavior; Human dynamics; Temporal–spatial patterns; Scaling laws (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:495:y:2018:i:c:p:40-48

DOI: 10.1016/j.physa.2017.12.024

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