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Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chang, Xiaohong& Wang, Haiyun. 2017. Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1151594
Modern Language Association (MLA)
Chang, Xiaohong& Wang, Haiyun. Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1151594
American Medical Association (AMA)
Chang, Xiaohong& Wang, Haiyun. Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1151594
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151594