DocumentCode
589462
Title
Time Series Analysis of Dynamic Networks
Author
Yibing Wang ; Sanghyun Cheon ; Qun Wang
Author_Institution
Sch. of Bus., Shandong Univ., Weihai, China
Volume
1
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
503
Lastpage
506
Abstract
Time series analysis can be used to analyze structural changes in dynamic networks. the techniques and tools used to analyze the structure of dynamic networks are investigated in this paper. a large climate anomaly dataset is analyzed and used to construct a time series correlation based graph. the experiment results indicate that this climate dataset has the features of a small-world network.
Keywords
network theory (graphs); small-world networks; time series; climate anomaly dataset; dynamic network structure change analysis; small-world network; time series analysis; time series correlation based graph; Biological system modeling; Correlation; Educational institutions; Meteorology; Time series analysis; correlation; dynamic networks; graph; time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.131
Filename
6407031
Link To Document