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


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
Number of pages12
ISBN (Print)978-3-030-93408-8
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
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503


Conference10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021
CityHybrid at Madrid

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
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.


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


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