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Understanding the Inter-Enterprise Competitive Relationship Based on the Link Prediction Method: Experience from Z-Park

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Complex Networks and Their Applications XI (COMPLEX NETWORKS 2016 2022)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1078))

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Abstract

Integrating complex network theory, link prediction theory, and related research on industrial competition relationship, this paper proposes the theoretically analytical framework of the competitive relationship among Z-Park high-tech enterprises. By constructing a link prediction model, we reveal the internal dynamics that affect the evolution of the competitive network of enterprises, seek the best index reflecting the network formation mechanism, and apply it to the prediction of potential competitive associations.

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Acknowledgements

This research was funded by the National Natural Science Foundation of China (Grant No. 71971006) and 2021 High-level Technology Innovation Think Tank Youth Project (Project No. 2021ZZZLFZB1207016).

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Authors and Affiliations

  1. College of Economics and Management, Beijing University of Technology, Beijing, China

    Jiayue Yang, Lizhi Xing & Guoqiang Liang

Authors
  1. Jiayue Yang
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  2. Lizhi Xing
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  3. Guoqiang Liang
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Corresponding author

Correspondence to Guoqiang Liang .

Editor information

Editors and Affiliations

  1. University of Burgundy, Dijon, France

    Hocine Cherifi

  2. Dipartimento di Fisica e Chimica—Emilio Segrè, Università degli Studi Palermo, Palermo, Italy

    Rosario Nunzio Mantegna

  3. Thomas J. Watson College of Engineering and Applied Science, Binghamton University, Binghamton, NY, USA

    Luis M. Rocha

  4. IUT Lumière—Université Lyon 2, University of Lyon, Bron, France

    Chantal Cherifi

  5. Dipartimento di Fisica e Chimica—Emilio Segrè, Università degli Studi Palermo, Palermo, Italy

    Salvatore Micciche

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Yang, J., Xing, L., Liang, G. (2023). Understanding the Inter-Enterprise Competitive Relationship Based on the Link Prediction Method: Experience from Z-Park. In: Cherifi, H., Mantegna, R.N., Rocha, L.M., Cherifi, C., Micciche, S. (eds) Complex Networks and Their Applications XI. COMPLEX NETWORKS 2016 2022. Studies in Computational Intelligence, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-031-21131-7_47

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  • DOI: https://doi.org/10.1007/978-3-031-21131-7_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21130-0

  • Online ISBN: 978-3-031-21131-7

  • eBook Packages: EngineeringEngineering (R0)

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