Markov Modulated Process to Model Human Mobility

Brian Chang, Liufei Yang, Mattia Sensi*, Massimo A. Achterberg, Fenghua Wang, Marco Rinaldi, Piet Van Mieghem

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021
EditorsRosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo
PublisherSpringer
Pages607-618
Number of pages12
ISBN (Print)978-3-030-93408-8
DOIs
Publication statusPublished - 2022
Event10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021 - Hybrid at Madrid, Spain
Duration: 30 Nov 20212 Dec 2021
Conference number: 10th

Publication series

NameStudies in Computational Intelligence
Volume1015
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021
Country/TerritorySpain
CityHybrid at Madrid
Period30/11/212/12/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Human mobility
  • Markov chains
  • Markov modulated process
  • Modeling
  • Time-varying networks

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