Search: onr:"swepub:oai:DiVA.org:su-91852" >
Testing time series...
Testing time series irreversibility using complex network methods
-
- Donges, Jonathan (author)
- Stockholms universitet,Stockholm Resilience Centre,Potsdam Institute for Climate Impact Research, Germany; Humboldt University of Berlin, Germany
-
Donner, Reik V. (author)
-
Kurths, Juergen (author)
-
(creator_code:org_t)
- 2013-04-18
- 2013
- English.
-
In: Europhysics letters. - : IOP Publishing. - 0295-5075 .- 1286-4854. ; 102:1, s. 10004-
- Related links:
-
http://arxiv.org/pdf...
-
show more...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- The absence of time-reversal symmetry is a fundamental property of many nonlinear time series. Here, we propose a new set of statistical tests for time series irreversibility based on standard and horizontal visibility graphs. Specifically, we statistically compare the distributions of time-directed variants of the common complex network measures degree and local clustering coefficient. Our approach does not involve surrogate data and is applicable to relatively short time series. We demonstrate its performance for paradigmatic model systems with known time-reversal properties as well m for picking up signatures of nonlinearity in neuro-physiological data.
Subject headings
- NATURVETENSKAP -- Fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database