Network percolation reveals adaptive bridges of the mobility network response to COVID-19
PLoS ONE, ISSN: 1932-6203, Vol: 16, Issue: 11 November, Page: e0258868
2021
- 13Citations
- 34Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations13
- Citation Indexes13
- 13
- Captures34
- Readers34
- 34
Article Description
Human mobility is crucial to understand the transmission pattern of COVID-19 on spatially embedded geographic networks. This pattern seems unpredictable, and the propagation appears unstoppable, resulting in over 350,000 death tolls in the U.S. by the end of 2020. Here, we create the spatiotemporal inter-county mobility network using 10 TB (Terabytes) trajectory data of 30 million smart devices in the U.S. in the first six months of 2020. We investigate the bond percolation process by removing the weakly connected edges. As we increase the threshold, the mobility network nodes become less interconnected and thus experience surprisingly abrupt phase transitions. Despite the complex behaviors of the mobility network, we devised a novel approach to identify a small, manageable set of recurrent critical bridges, connecting the giant component and the second-largest component. These adaptive links, located across the United States, played a key role as valves connecting components in divisions and regions during the pandemic. Beyond, our numerical results unveil that network characteristics determine the critical thresholds and the bridge locations. The findings provide new insights into managing and controlling the connectivity of mobility networks during unprecedented disruptions. The work can also potentially offer practical future infectious diseases both globally and locally.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85118901452&origin=inward; http://dx.doi.org/10.1371/journal.pone.0258868; http://www.ncbi.nlm.nih.gov/pubmed/34752462; https://dx.plos.org/10.1371/journal.pone.0258868; https://dx.doi.org/10.1371/journal.pone.0258868; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0258868
Public Library of Science (PLoS)
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