Complex network-based time series analysis

By Yue Yang, Huijie Yang. 2008

329 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/87caf2c4d7496d99b77941c29107bec093e1ee19

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yong Zou
2. Norbert Marwan
3. Jonathan F. Donges
4. Reik V. Donner
5. Jürgen Kurths
6. Wei‐Xing Zhou
7. W. Yuan
8. Chuang Liu

In Economics and Econometrics

1. Norbert Marwan
2. Jürgen Kurths
3. Yong Zou
4. Reik V. Donner
5. Jonathan F. Donges
6. Wei‐Xing Zhou
7. W. Yuan
8. Chuang Liu

In Statistical and Nonlinear Physics

1. Norbert Marwan
2. Yong Zou
3. Reik V. Donner
4. Jonathan F. Donges
5. Jürgen Kurths
6. Wei‐Xing Zhou
7. W. Yuan
8. Chuang Liu

Citations in the corpus

• Complex network approaches to nonlinear time series analysis (2019, methodology): “While these three classes of time series networks exhibit very strong conceptual similarities (the same applies to the correlation networks [56] discussed in Section 3.”
• Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence (2009, methodology): “This method for pseudoperiodic time series can also be generalized to other time series, where a node is d efine by a sub-series of fixed length as an alternative of a cycle, which has been applied to stock prices [10].”
• Recurrence-based time series analysis by means of complex network methods (2010, background): “Specifically, if the Pearson correlation coefficient is larger than a given threshold r , the vertices i and j are considered to be connected [Yang & Yang, 2008; Gao & Jin, 2009a]: Interpreting 1 − r i,j as a proximity measure, the condition r i,j ≥ r corresponds to the definition (3) of a recurrence…”
• The role of fluctuating modes of autocorrelation in crude oil prices (2014, background): “The links between the nodes are defined by correlationmeasures [7–9].”
• Complex network approach for recurrence analysis of time series (2009, methodology): “mber of neighbours (instead of the more often used fixed size of the neighbourhood [5]). Other approaches for the study of time series by a complex network analysis suggested using linear correlations [34] or another certain condition on the time series amplitudes (“visibility”) [35]. In this letter,”
• Recurrence networks—a novel paradigm for nonlinear time series analysis (2009, methodology): “Moreover, although several authors have recently focused their attention on this characteristic obtained from different types of complex networks derived from time series [33], [37]–[39], [42], [56]–[59], [68]–[70], we would like to underline that for a complete characterization of the phase space p”