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On competitive relationship networks: A new method for industrial competition analysis

Author

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  • Yang, Jianmei
  • Lu, Lvping
  • Xie, Wangdan
  • Chen, Guanrong
  • Zhuang, Dong

Abstract

Other than co-operation, competition is a central issue in industry and commerce today, which always exists among enterprises that provide homogeneous products or services. The competitive relationships of enterprises determine the rivalry nature of dominant interactions among them; that is, rivalry actions are the main interactions while co-operation actions generally occur on an occasional basis and do not essentially change this competitive nature of their relationships. This paper reports a detailed study of a competitive relationship network of 578 certified Independent Software Vendors (ISVs) in Guangzhou city, China, which shows some prominent scale-free (SF) structural properties and complex dynamical behaviors. In this report, the economic background and the significance the competitive relationship network model will be described; the underlying dynamical mechanism of the network model will be analyzed, showing some advantages of the new model for industrial organization theory (IO) over the traditional ones. Finally, some related issues, such as the static properties of the competitive relationship network and some of its graph properties, will be discussed.

Suggested Citation

  • Yang, Jianmei & Lu, Lvping & Xie, Wangdan & Chen, Guanrong & Zhuang, Dong, 2007. "On competitive relationship networks: A new method for industrial competition analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 704-714.
    • Handle: RePEc:eee:phsmap:v:382:y:2007:i:2:p:704-714
    DOI: 10.1016/j.physa.2007.04.032
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    Citations

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    Cited by:

    1. Yang, Jianmei & Yao, Canzhong & Ma, Weicheng & Chen, Guanrong, 2010. "A study of the spreading scheme for viral marketing based on a complex network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 859-870.
    2. Yang, Jianmei & Wang, Wenjie & Chen, Guanrong, 2009. "A two-level complex network model and its application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2435-2449.
    3. He, Xijun & Dong, Yanbo & Wu, Yuying & Wei, Guodan & Xing, Lizhi & Yan, Jia, 2017. "Structure analysis and core community detection of embodied resources networks among regional industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 137-150.
    4. Ou, Ruiqiu & Yang, Jianmei, 2012. "On structural properties of scale-free networks with finite size," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 887-894.
    5. Weijun Zeng & Minqiang Li & Nan Feng, 2017. "The effects of heterogeneous interaction and risk attitude adaptation on the evolution of cooperation," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 435-459, July.
    6. Kun Chen & Xin Li & Peng Luo & J. Leon Zhao, 2021. "News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value," Information Systems Research, INFORMS, vol. 32(2), pages 356-377, June.
    7. Hou, Rui & Yang, Jianmei & Yao, Canzhong & McKelvey, Bill, 2015. "How does competition structure affect industry merger waves? A network analysis perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 140-156.
    8. Marti Sagarra & Frank M. T. A. Busing & Cecilio Mar-Molinero & Josep Rialp, 2018. "Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(1), pages 131-153, March.

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