Quality assessment and community detection methods for anonymized mobility data in the Italian Covid context
Abstract We discuss how to assess the reliability of partial, anonymized mobility data and compare two different methods to identify spatial communities based on movements: Greedy Modularity Clustering (GMC) and the novel Critical Variable Selection (CVS). These capture different aspects of mobility...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-54878-0 |