Recent advances in bridging time series and complex networks

Xiang Li, Xin Liu, Chi Kong Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

This paper reviews the recent advances in bridging time series analysis and complex network theory. We first introduce the main representative approaches of mapping time series into complex networks with their potential and advantages in applications in a variety of fields, and also report the latest methods to feature complex networks with typical time series after multi-scaling transformation, and to estimate and identify the uncertain connectivity of a complex network. As an example, we show an amplitude-temporal method to fast detect arrhythmia with the indicator of the average degree of associated networks.
Original languageEnglish
Title of host publication2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Pages2505-2508
Number of pages4
DOIs
Publication statusPublished - 9 Sep 2013
Event2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013 - Beijing, China
Duration: 19 May 201323 May 2013

Conference

Conference2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Country/TerritoryChina
CityBeijing
Period19/05/1323/05/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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