Multiplex recurrence networks

Deniz Eroglu*, Norbert Marwan, Martina Stebich, Juergen Kurths

*Corresponding author for this work

Research output: Contribution to journalArticle

13 Citations (Scopus)
7 Downloads (Pure)

Abstract

We have introduced a multiplex recurrence network approach by combining recurrence networks with the multiplex network approach in order to investigate multivariate time series. The potential use of this approach is demonstrated on coupled map lattices and a typical example from palaeobotany research. In both examples, topological changes in the multiplex recurrence networks allow for the detection of regime changes in their dynamics. The method goes beyond classical interpretation of pollen records by considering the vegetation as a whole and using the intrinsic similarity in the dynamics of the different regional vegetation elements. We find that the different vegetation types behave more similarly when one environmental factor acts as the dominant driving force.

Original languageEnglish
Article number012312
Number of pages9
JournalPhysical Review E
Volume97
Issue number1
DOIs
Publication statusPublished - 25 Jan 2018

Keywords

  • TIME-SERIES ANALYSIS
  • STRANGE ATTRACTORS
  • QUANTIFICATION ANALYSIS
  • COMPLEX NETWORKS
  • DYNAMICS
  • CLIMATE
  • HOLOCENE
  • SYSTEMS
  • PLOTS
  • VARIABILITY

Cite this

Eroglu, D., Marwan, N., Stebich, M., & Kurths, J. (2018). Multiplex recurrence networks. Physical Review E, 97(1), [012312]. https://doi.org/10.1103/PhysRevE.97.012312