On using the modularity of recurrence network communities to detect change-point behaviour

Journal Article

Dr Ayham Zaitouny

Authors: David M. Walker, Ayham Zaitouny, Debora C. Correa*

2021-03-01

Publication

Expert Systems with Applications Volume 176, 15 August 2021, 114837

Volume 176, 15 August 2021, 114837

link to SJR https://www.scimagojr.com/journalsearch.php?q=24201&tip=sid&clean=0

Quality Indicators

Peer Reviewed

Q1 Journal as rated in SJR

Relevance to the Centre

A new network algorithm to detect when time series changes concepts. Recurrence network communities as a proxy for quadrant scan tipping point detection. Real-world industrial application to streaming data and run-to-failure experiments.

DOI: 10.1016/j.eswa.2021.114837