Construction of Complex Network with Multiple Time Series Relevance

Construction of Complex Network with Multiple Time Series Relevance

Multivariate time series data, which comprise a set of ordered observations for multiple variables, are pervasively generated in weather conditions, traffic, financial stocks, etc. Therefore, it is of great significance to analyze the correlation between multiple time series. Financial stocks genera...

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Bibliographic Details
Main Authors: Zongwen Huang, Lingyu Xu, Lei Wang, Gaowei Zhang, Yaya Liu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Information
Subjects:
multivariate time series
fusion similarity
connectivity efficiency
threshold determination
complex network
central node
Online Access:http://www.mdpi.com/2078-2489/9/8/202

Internet

http://www.mdpi.com/2078-2489/9/8/202

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