INFORMATION RESEARCH

Research on the Identification and Analysis of Emerging Topics from the Perspective of Popularity Evolution

  • Wan Xiaoji ,
  • Li Hailin ,
  • He Yuqing ,
  • Yang Runqi ,
  • Lin Hailong
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  • 1 College of Business Administration, Huaqiao University, Quanzhou 362021;
    2 Oriental Enterprise Management Research Center, Huaqiao University, Quanzhou 362021;
    3 Modern Statistics and Big Data Research Center, Huaqiao University, Xiamen 361021

Received date: 2024-02-28

  Revised date: 2024-06-14

  Online published: 2024-11-25

Supported by

This work is supported by the Fujian Provincial Social Science Planning Project titled “Research on the Output Performance Evaluation of National Natural Science Foundation Closing Projects Based on Big Data Analysis”(Grant No.FJ2023B109).

Abstract

[Purpose/Significance] Identifying emerging topics in disciplinary fields can not only guide researchers in selecting scientific topics, but also provide the technical support for the precise formulation of strategic emerging industry development plans. [Method/Process] Due to the lack of a unified definition for “emerging topics” and the challenges associated with processing complex, high-dimensional data in topic identification, this study proposed an emerging topic detecting method based on topic popularity evolution. It combined the keyword importance, average similarity coefficient and affinity propagation clustering algorithm to adaptively identify research topics in a field. The topic popularity was characterized by the novelty, influence and potentiality of topics. Time series of the topic popularity were obtained by skyline algorithm and principal component analysis method, and the emerging topics were accurately identified by the time evolution of the initial topic popularity. [Result/Conclusion] By data processing and mining journal papers in supply chain from 2012 to 2021 in the China National Knowledge Infrastructure (CNKI) database, this study demonstrates that the proposed method can effectively identify emerging topics in the field. It provides decision-making support for relevant researchers and government departments in selecting topics and planning.

Cite this article

Wan Xiaoji , Li Hailin , He Yuqing , Yang Runqi , Lin Hailong . Research on the Identification and Analysis of Emerging Topics from the Perspective of Popularity Evolution[J]. Library and Information Service, 2024 , 68(22) : 126 -138 . DOI: 10.13266/j.issn.0252-3116.2024.22.012

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