A weighted higher-order network analysis of fine particulate matter (PM2.5) transport in Yangtze River Delta

Yufang Wang, Haiyan Wang, Shuhua Zhang

Research output: Contribution to journalArticle

3 Scopus citations


Specification of PM2.5 transmission characteristics is important for pollution control, policymaking and prediction. In this paper, we propose weights for motif instances, thereby to implement a weighted higher-order clustering algorithm for a weighted, directed PM2.5 network in the Yangtze River Delta (YRD) of China. The weighted, directed network we create in this paper includes information on meteorological conditions of wind speed and wind direction, plus data on geographic distance and PM2.5 concentrations. We aim to reveal PM2.5 mobility between cities in the YRD. Major potential PM2.5 contributors and closely interacted clusters are identified in the network of 178 air quality stations in the YRD. To our knowledge, it is the first work to incorporate weight information into the higher-order network analysis to study PM2.5 transport.

Original languageEnglish (US)
Pages (from-to)654-662
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Publication statusPublished - Apr 15 2018



  • Closely interacted clusters
  • Major potential PM contributors
  • PM transport
  • Weighted higher-order clustering algorithm
  • Weights for motif instances

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics

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