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Discrete Dynamics in Nature and Society
Volume 2017, Article ID 5801386, 7 pages
Research Article

Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network

1School of Economics and Management, Beijing Institute of Graphic Communication, Beijing 102600, China
2Postdoctoral Research Station of Business Administration, Tsinghua University, Beijing 100083, China

Correspondence should be addressed to Xiaohong Chang; nc.ude.tujb.sliame@gnohoaixgnahc

Received 14 October 2016; Accepted 4 January 2017; Published 27 February 2017

Academic Editor: Ricardo López-Ruiz

Copyright © 2017 Xiaohong Chang and Haiyun Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study depicts the network morphology of firms which establish ties through cross-shareholdings by the theory of complex network analysis method. It calculates some complex network properties of the cross-shareholdings network and analyzes the evolution law of network structure in nearly 7 years. The network clearly displays small world properties and scale-free properties. The cross-shareholdings network average path length and clustering coefficient is with a small amplitude fluctuation; the network structure is relatively stable. Such a study is of practical importance and could provide opportunities for policy makers to improve the performance of the cross-shareholdings network.