Title :
Time Series Analysis of Dynamic Networks
Author :
Yibing Wang ; Sanghyun Cheon ; Qun Wang
Author_Institution :
Sch. of Bus., Shandong Univ., Weihai, China
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.131
