INFORMATION RESEARCH

Research on the Method of Identifying Disruptive Technology Knowledge Networks Diffusion Characteristics Based on Dynamic Structure Entropy

  • Wang Chao ,
  • Xu Haiyun ,
  • Wu Huawei ,
  • Qi Yancui ,
  • Chen Liang
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  • 1 Business School, Shandong University of Technology, Zibo 255000;
    2 Library of Shandong Normal University, Jinan 250014;
    3 Archives of Northwestern Normal University, Lanzhou 730070;
    4 Institute of Scientific and Technical Information of China, Beijing 100038

Received date: 2023-03-10

  Revised date: 2023-07-12

  Online published: 2024-01-06

Abstract

[Purpose/Significance] This research utilizes dynamic structural entropy to explore the structural changes in the diffusion process of disruptive technology knowledge networks and to identify mutation states during network structural changes. This approach aims to uncover the diffusion characteristics of disruptive technological knowledge networks, providing a methodological reference for the early identification of disruptive technologies. [Method/Process] Three dynamic knowledge sub-networks first are constructed for disruptive technology in the stages of basic research, applied research, and industrial application innovation. Secondly, dynamic structural entropy is employed to investigate the diffusion characteristics of disruptive technology knowledge networks. Subsequently, structural mutation features in the diffusion process of disruptive technology knowledge networks are analyzed using a mutation function model. Finally, the dynamic time warping method is employed to analyze the correlation of diffusion among different knowledge sub-networks of disruptive technologies and to highlight the differences between their diffusion characteristics and those of incremental technologies. [Result/Conclusion] Empirical research demonstrates that the proposed dynamic structural entropy to identify diffusion characteristics of disruptive technology knowledge networks can reveal diffusion features in the knowledge sub-networks of basic research, applied research, and industrial application in terms of micro-structure, meso-structure, the relationship between micro and meso-structures, and network structural mutation. Through the comprehensive analysis of three diffusion characteristics, the distinct diffusion features of disruptive technology as compared to incremental technologies are deciphered.

Cite this article

Wang Chao , Xu Haiyun , Wu Huawei , Qi Yancui , Chen Liang . Research on the Method of Identifying Disruptive Technology Knowledge Networks Diffusion Characteristics Based on Dynamic Structure Entropy[J]. Library and Information Service, 2023 , 67(24) : 54 -71 . DOI: 10.13266/j.issn.0252-3116.2023.24.006

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