Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2017/5801386 |
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| _version_ | 1832554092262588416 |
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| author | Xiaohong Chang Haiyun Wang |
| author_facet | Xiaohong Chang Haiyun Wang |
| author_sort | Xiaohong Chang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-764d840c5eba4580a1418542e730582c |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-764d840c5eba4580a1418542e730582c2025-02-03T05:52:19ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2017-01-01201710.1155/2017/58013865801386Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex NetworkXiaohong Chang0Haiyun Wang1School of Economics and Management, Beijing Institute of Graphic Communication, Beijing 102600, ChinaSchool of Economics and Management, Beijing Institute of Graphic Communication, Beijing 102600, ChinaThis 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.http://dx.doi.org/10.1155/2017/5801386 |
| spellingShingle | Xiaohong Chang Haiyun Wang Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network Discrete Dynamics in Nature and Society |
| title | Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network |
| title_full | Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network |
| title_fullStr | Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network |
| title_full_unstemmed | Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network |
| title_short | Cross-Shareholdings Structural Characteristic and Evolution Analysis Based on Complex Network |
| title_sort | cross shareholdings structural characteristic and evolution analysis based on complex network |
| url | http://dx.doi.org/10.1155/2017/5801386 |
| work_keys_str_mv | AT xiaohongchang crossshareholdingsstructuralcharacteristicandevolutionanalysisbasedoncomplexnetwork AT haiyunwang crossshareholdingsstructuralcharacteristicandevolutionanalysisbasedoncomplexnetwork |