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An evolution analysis of executive-based listed company relationships using complex networks

Author

Listed:
  • An, Feng
  • Gao, Xiangyun
  • Guan, Jianhe
  • Li, Huajiao
  • Liu, Qian

Abstract

This paper addresses the problem of relationship analysis of listed companies. It mainly focuses on the analysis of affiliation relationship network among listed companies based on the co-attendance behavior of senior executives. In order to solve this problem we propose a two-stage method. In stage 1, we propose a method of network construction which can change the two-mode affiliation network to one-mode network using model-descending process, and in stage 2, we analyze the networks from stage 1 in four aspects includes analysis of topological characteristic, influence distribution, information control ability distribution and small world phenomenon. We then took a case of Chinese listed companies’ executive-based network as an example of the method and the results of the case study showed that the co-attendance behaviors of executives became more widespread (the number and percentage of related listed companies increased 624% and 322%) and that more companies preferred to relate to others on this level, improving the stability of the massive company structures.

Suggested Citation

  • An, Feng & Gao, Xiangyun & Guan, Jianhe & Li, Huajiao & Liu, Qian, 2016. "An evolution analysis of executive-based listed company relationships using complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 276-285.
    • Handle: RePEc:eee:phsmap:v:447:y:2016:i:c:p:276-285
    DOI: 10.1016/j.physa.2015.12.050
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    References listed on IDEAS

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    7. Liu, Qian & Li, Huajiao & Liu, Xueyong & Jiang, Meihui, 2018. "Information networks in the stock market based on the distance of the multi-attribute dimensions between listed companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 505-513.
    8. An, Feng & Gao, Xiangyun & Guan, Jianhe & Huang, Shupei & Liu, Qian, 2017. "Modeling the interdependent network based on two-mode networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 57-67.
    9. Sun, Qingru & Gao, Xiangyun & Zhong, Weiqiong & Liu, Nairong, 2017. "The stability of the international oil trade network from short-term and long-term perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 345-356.
    10. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
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