Investigating Bimodal Clustering in Human Mobility

Investigating Bimodal Clustering in Human Mobility

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 mo...

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Bibliographische Detailangaben
Hauptverfasser: Bagrow, J.P., Koren, T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
clustering
Clustering algorithms
Complex networks
Computer networks
Data engineering
human mobility
Humans
Mobile handsets
mobile phones
Physics computing
Sampling methods
Statistics
Trajectory
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/CSE.2009.283