Complex network analysis of time series. (20th January 2017)

• Record Type: Journal Article
• Authors: Gao, Zhong-Ke; Small, Michael; Kurths, Jürgen
• Is Part Of: Europhysics letters. Volume 116:Number 5(2016:Dec.)
• Publication Date: 2017-01-20
• Subjects: 05.45.Tp -- 64.60.aq -- 89.75.-k; Physics -- Periodicals; Electronic journals; 530.05
• DOI: 10.1209/0295-5075/116/50001
• Languages: English
• ISSNs: 0295-5075

Abstract

Abstract: Revealing complicated behaviors from time series constitutes a fundamental problem of continuing interest and it has attracted a great deal of attention from a wide variety of fields on account of its significant importance. The past decade has witnessed a rapid development of complex network studies, which allow to characterize many types of systems in nature and technology that contain a large number of components interacting with each other in a complicated manner. Recently, the complex network theory has been incorporated into the analysis of time series and fruitful achievements have been obtained. Complex network analysis of time series opens up new venues to address interdisciplinary challenges in climate dynamics, multiphase flow, brain functions, ECG dynamics, economics and traffic systems.