Markov Modulated Process to Model Human Mobility

被引：3

作者：

Chang, Brian ^{[1
]}

Yang, Liufei ^{[1
]}

Sensi, Mattia ^{[1
]}

Achterberg, Massimo A. ^{[1
]}

Wang, Fenghua ^{[1
]}

Rinaldi, Marco ^{[1
]}

Van Mieghem, Piet ^{[1
]}

机构：

[1] Delft Univ Technol, NL-2628 CD Delft, Netherlands

来源：

COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 1 | 2022年 / 1015卷

关键词：

Markov modulated process; Human mobility; Time-varying networks; Modeling; Markov chains; PHONE;

D O I：

10.1007/978-3-030-93409-5_50

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We introduce a Markov Modulated Process (MMP) to describe human mobility. We represent the mobility process as a time-varying graph, where a link specifies a connection between two nodes (humans) at any discrete time step. Each state of the Markov chain encodes a certain modification to the original graph. We show that our MMP model successfully captures the main features of a random mobility simulator, in which nodes moves in a square region. We apply our MMP model to human mobility, measured in a library.

引用

页码：607 / 618

页数：12

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