REVIEW

A Review of Main Path Analysis Methods

  • Cao Yirou ,
  • Zhang Borui ,
  • Yang Ning ,
  • Wen Yi
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  • 1 Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610299;
    2 Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    3 Research Institute for Data Management & Innovation, Nanjing University, Suzhou 215163
Cao Yirou, Master’s Candidate; Zhang Borui, Doctoral Candidate; Yang Ning, Senior Engineer, PhD, Master’s Supervisor; Wen Yi, Senior Engineer, Master’s Supervisor, Corresponding Author, E-mail: weny@clas.ac.cn.

Received date: 2025-04-29

  Revised date: 2025-07-11

  Online published: 2026-03-14

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on the Behavioral Characteristics of Scientific Data Reuse and the Laws of Knowledge Diffusion” (Grant No. 23XTQ006).

Abstract

[Purpose/Significance] As an important scientometric tool for identifying the key paths of knowledge evolution, main path analysis shows unique advantages in mapping disciplinary development trajectories. By systematically analyzing the methodological evolution and research advancements of this method, and combining it with theoretical innovations and extended applications empowered by digital intelligence technologies, facilitates comprehensive exploration of its research potential. This study provides valuable insights for subsequent investigations in relevant fields. [Method/Process] In this paper, 106 representative pieces of literature are screened out by comprehensively using the literature research method and the internet research method. By combining with the related research and latest progress at home and abroad, we systematically summarize the main path analysis method from the three dimensions of method innovation, application scenarios and application expansion, and we also discuss the existing deficiencies and future development directions of the method. [Result/Conclusion] Although the main path analysis method has been continuously developed and innovated in academia, it still needs improvement in dynamic network analysis, the assessment index system and addressing data sensitivity. Future research could focus on dynamic network modeling, the development of multidimensional assessment systems, and enhancing methods with AI to promote the theoretical innovation and practical application of main path analysis.

Cite this article

Cao Yirou , Zhang Borui , Yang Ning , Wen Yi . A Review of Main Path Analysis Methods[J]. Library and Information Service, 2026 , 70(6) : 132 -147 . DOI: 10.13266/j.issn.0252-3116.2026.06.011

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