The eigenmode analysis of human motion

被引：15
|
作者：
Park, Juyong [1 ]
Lee, Deok-Sun [2 ,3 ]
Gonzalez, Marta C. [4 ]
机构：
[1] Kyung Hee Univ, Dept Phys, Seoul 130701, South Korea
[2] Inha Univ, Dept Nat Med Sci, Inchon 402751, South Korea
[3] Inha Univ, Dept Phys, Inchon 402751, South Korea
[4] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
来源：
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2010年
基金：
新加坡国家研究基金会;
关键词：
network dynamics; random graphs; networks; stochastic processes; traffic and crowd dynamics; SCALING LAWS; RANDOM-WALK; BEHAVIOR;
D O I：
10.1088/1742-5468/2010/11/P11021
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
Rapid advances in modern communication technology are enabling the accumulation of large-scale, high-resolution observational data of the spatiotemporal movements of humans. Classification and prediction of human mobility based on the analysis of such data has great potential in applications such as urban planning in addition to being a subject of theoretical interest. A robust theoretical framework is therefore required to study and properly understand human motion. Here we perform the eigenmode analysis of human motion data gathered from mobile communication records, which allows us to explore the scaling properties and characteristics of human motion.
引用
收藏
页数：15
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