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On the structural evolution of the knowledge network and behaviors of the knowledge subjects

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Abstract

The variation of the network topology directly indicates the knowledge network evolution, the principal composition of which is the structural evolution. Based on the principles of both the minimum coupling costs between knowledge subjects and the network average value threshold, this paper constructs the evolution model of a small-world knowledge network. Using MATLAB programming, this paper analyzes the characteristics of the evolution of knowledge network. It then examines the main parameter changes and the distribution of the network node degree as well as its probability distribution and then proceeds to investigate the variation of the subjects’ knowledge level as well as the variation speed. The simulation results show that with the structural evolution of the knowledge network, the connection between the network subjects has been improved after numerous rewiring. Compared with the initial state, the total knowledge stock of the knowledge network and the average knowledge stock of the subjects are significantly enhanced.

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Acknowledgements

This work was partially supported by Grants from the National Natural Science Foundation of China (No. 71602012), Sichuan Soft Science Project (No. 2018ZR0119) and Chengdu Soft Science Project (No. 2016-RK00-00247-ZF).

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Authors and Affiliations

  1. Business School, Chengdu University of Technology, Chengdu, 610059, People’s Republic of China

    Qifeng Wei

  2. Business School, Sichuan University, Chengdu, 610064, People’s Republic of China

    Xin Gu & Yuan Yuan

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  1. Qifeng Wei
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  2. Xin Gu
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  3. Yuan Yuan
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Correspondence to Yuan Yuan.

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Wei, Q., Gu, X. & Yuan, Y. On the structural evolution of the knowledge network and behaviors of the knowledge subjects. J Supercomput 76, 3477–3493 (2020). https://doi.org/10.1007/s11227-018-2595-z

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  • DOI: https://doi.org/10.1007/s11227-018-2595-z

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