Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States

Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States

A novel approach combining time series analysis and complex network theory is proposed to deeply explore characteristics of the COVID-19 pandemic in some parts of the United States (US). It merges as a new way to provide a systematic view and complementary information of COVID-19 progression in the...

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書目詳細資料
Main Authors:	Pan, Yue, Zhang, Limao, Unwin, Juliette, Skibniewski, Miroslaw J.
其他作者:	School of Civil and Environmental Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Civil engineering COVID-19 Complex Network
在線閱讀:	https://hdl.handle.net/10356/162394
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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