Complex network analysis of time series

Zhong Ke Gao, Michael Small, Jürgen Kurths

    Research output: Contribution to journalReview articlepeer-review

    214 Citations (Scopus)

    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.

    Original languageEnglish
    Article number50001
    JournalEPL
    Volume116
    Issue number5
    DOIs
    Publication statusPublished - 1 Dec 2016

    Fingerprint

    Dive into the research topics of 'Complex network analysis of time series'. Together they form a unique fingerprint.

    Cite this