Visibility graph analysis on quarterly macroeconomic series of China based on complex network theory

By Na Wang, Dong Li, Qiwen Wang. 2012

83 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e4a000accb9143b4d83b56c640b7b04ceebbe9e3

How researchers see this paper

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

In Economics and Econometrics

1. Norbert Marwan
2. Jürgen Kurths
3. Yong Zou
4. Reik V. Donner
5. Jonathan F. Donges
6. Wei Fang
7. Xuan Huang
8. Xiangyun Gao

In Experimental and Cognitive Psychology

1. Jürgen Kurths

In Statistical and Nonlinear Physics

1. Norbert Marwan
2. Yong Zou
3. Reik V. Donner
4. Jonathan F. Donges
5. Jürgen Kurths
6. Wei Fang
7. Xuan Huang
8. Xiangyun Gao

Citations in the corpus

• The role of fluctuating modes of autocorrelation in crude oil prices (2014, methodology): “Thus far, the visibility algorithm has been diversely used to investigate stock market indices [13], foreign exchange rates [14], quarterly macroeconomic series [15], and energy dissipation rates [16].”
• Complex network approaches to nonlinear time series analysis (2019, background): “in neuroscience [43,183,402], hydrology [457] or economics and finance [411].”