Investigating Bimodal Clustering in Human Mobility

2009/01/01 by James P. Bagrow, Tal Koren · 2 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Diffusion and Search Dynamics #Human Mobility and Location-Based Analysis #physics.data-an #physics.soc-ph

paper · pdf · doi:10.1109/cse.2009.283

published as International Conference on Computational Science and Engineering, 4: 944-947, 2009 · 4 pages, 2 figures

openalex publication_date 2009/01/01 · arxiv created 2009/11/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

We apply a simple clustering algorithm to a large dataset of cellular telecommunication records, reducing the complexity of mobile phone users' full trajectories and allowing for simple statistics to characterize their properties. For the case of two clusters, we quantify how clustered human mobility is, how much of a user's spatial dispersion is due to motion between clusters, and how spatially and temporally separated clusters are from one another.

Citations

• Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

Cited by

• Mesoscopic Structure and Social Aspects of Human Mobility
• Human Trajectories Characteristics

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