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Measuring global multi-scale place connectivity using geotagged social media data

Crossref DOI link: https://doi.org/10.1038/s41598-021-94300-7

Published Online: 2021-07-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Zhenlong

Huang, Xiao

Ye, Xinyue

Jiang, Yuqin

Martin, Yago

Ning, Huan

Hodgson, Michael E.

Li, Xiaoming
Funding

Funding for this research was provided by:

United States National Science Foundation (2028791)

United States National Science Foundation (2028791)

United States National Science Foundation (2028791)

United States National Science Foundation (2028791)

United States National Science Foundation (2028791)

United States National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (R01AI127203-4S1)

United States National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (R01AI127203-4S1)

United States National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (R01AI127203-4S1)

United States National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (R01AI127203-4S1)

University of South Carolina COVID-19 Internal Funding Initiative (135400-20-54176)

University of South Carolina COVID-19 Internal Funding Initiative (135400-20-54176)

University of South Carolina COVID-19 Internal Funding Initiative (135400-20-54176)

University of South Carolina COVID-19 Internal Funding Initiative (135400-20-54176)

University of South Carolina COVID-19 Internal Funding Initiative (135400-20-54176)
License Information

Text and Data Mining valid from 2021-07-19

Version of Record valid from 2021-07-19
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Article History

Received: 26 March 2021

Accepted: 1 July 2021

First Online: 19 July 2021

Competing interests

: The authors declare no competing interests.

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