Complex networks from time series data allow an efficient historical stage division of urban air quality information
作者：
Highlights：
• The historical stage division of air quality information via network science is investigated.
• A novel dividing technique via community detection algorithm is proposed.
• Historical information of air quality is reasonably divided to obtain the statistical results.
• Some critical events or periods affecting air quality can be identified effectively.
摘要
•The historical stage division of air quality information via network science is investigated.•A novel dividing technique via community detection algorithm is proposed.•Historical information of air quality is reasonably divided to obtain the statistical results.•Some critical events or periods affecting air quality can be identified effectively.
论文关键词：Time series complex networks,Community detection algorithm,Urban air quality indexes,Visibility graph,Environmental science,Historical stage division
论文评审过程：Received 22 March 2021, Revised 31 May 2021, Accepted 2 June 2021, Available online 25 June 2021, Version of Record 25 June 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126435
