Paper Title:
Stocks Network Analysis Based on Visualization
  Abstract

In order to explore interactions among stocks, a weighted complex network was modeled, whose nodes were stocks, connection between nodes was established by their correlation, and the weight on corresponding edge was their correlation coefficient. The article analyzed some influence behaves among stocks by using visualization method, and gave some algorithms to find out network maximum spanning tree and core network. The result shows that the network is scale-free, nodes coupling are of homology, and some nodes are of strong influence on others.

  Info
Periodical
Edited by
Shaobo Zhong, Yimin Cheng and Xilong Qu
Pages
323-327
DOI
10.4028/www.scientific.net/AMM.50-51.323
Citation
W. S. Lan, G. H. Zhao, L. J. Hou, "Stocks Network Analysis Based on Visualization", Applied Mechanics and Materials, Vols. 50-51, pp. 323-327, 2011
Online since
February 2011
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