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A two-level complex network model and its application

Author

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  • Yang, Jianmei
  • Wang, Wenjie
  • Chen, Guanrong

Abstract

This paper investigates the competitive relationship and rivalry of industrial markets, using Chinese household electrical appliance firms as a platform for the study. The common complex network models belong to one-level networks in layered classification, while this paper formulates and evaluates a new two-level network model, in which the first level is the whole unweighted-undirected network useful for macro-analyzing the industrial market structure while the second level is a local weighted-directed network capable of micro-analyzing the inter-firm rivalry in the market. It is believed that the relationship is determined by objective factors whereas the action is rather subjective, and the idea in this paper lies in that the objective relationship and the subjective action subjected to this relationship are being simultaneously considered but at deferent levels of the model which may be applicable to many real applications.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:phsmap:v:388:y:2009:i:12:p:2435-2449
    DOI: 10.1016/j.physa.2009.02.046
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    References listed on IDEAS

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    Cited by:

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    2. Hiromitsu Goto & Wataru Souma & Mari Jibu & Yuichi Ikeda, 2020. "Multilayer Network Analysis of the Drug Pipeline in the Global Pharmaceutical Industry," Papers 2003.04620, arXiv.org.
    3. Chi-Yo Huang & I-Ling Tung, 2020. "Strategies for Heterogeneous R&D Alliances of In Vitro Diagnostics Firms in Rapidly Catching-Up Economies," IJERPH, MDPI, vol. 17(10), pages 1-34, May.
    4. Zhou, Yinzuo & Zhou, Jie, 2018. "Algorithm for multiplex network generation with shared links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 945-954.
    5. Zhu, Zhiguo, 2013. "Discovering the influential users oriented to viral marketing based on online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3459-3469.
    6. 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.
    7. 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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