Complex network analysis of time series

作者：Gao, Zhong-Ke^*; Small, Michael; Kurths, Juergen

来源：EPL, 2016, 116(5): 50001.

DOI：10.1209/0295-5075/116/50001

• VISIBILITY GRAPH
• BRAIN-NETWORK
• RECURRENCE
• PATTERNS
• TRANSITION
• DYNAMICS
• CONNECTIVITY
• ORGANIZATION
• BEHAVIOR
• SIGNALS

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.

• 出版日期2016-12
• 单位天津大学