Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Testing time series irreversibility using complex network methods   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 as for picking up
signatures of nonlinearity in neuro-physiological data.

10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
1
The categories of this paper are: cs
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
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The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ