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2022 , Vol. 66 >Issue 17: 81 - 92

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.17.008

INFORMATION RESEARCH

Research on the Identification Method of the Topic Hierarchical Structure in a Domain Based on the Citation Network

  • Wang Wei ,
  • Liang Jiwen ,
  • Yang Jianlin
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  • 1. School of Information Management, Nanjing University, Nanjing 210023;
    2. Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing 210023

Received date: 2022-02-25

  Revised date: 2022-05-09

  Online published: 2022-09-09

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Abstract

[Purpose/Significance] Identifying the hierarchical structure of topics in a domain can display domain knowledge structure in three dimensions and provide a reference for constructing the domain knowledge system.[Method/Process] Firstly, a semantically weighted citation network was established on the target dataset. Then, the hierarchical structure of the citation network was identified by the hierarchical community detection algorithm. The community topic labels and core papers jointly illustrated the theme of communities. After adjusting the location of topics according to the semantic relationship between the topics, the hierarchical structure and the knowledge flow of topics were displayed by the visualization method.[Result/Conclusion] This study demonstrates the effectiveness of the identification method about hierarchical topic structure in the domain of knowledge management, knowledge organization and knowledge service. 117 communities are identified on the weighted citation network, and they have been adjusted to form a four-layer thematic hierarchical structure, and the topic tree diagram and the topic association graph can show the semantic relationships among topics, including parallel, inclusion and overlap. It is also proved that identifying hierarchical topic structure based on the complex network method is an effective way to organize domain knowledge.

Key words： knowledge structure; topic hierarchical structure; community detection; citation network; domain knowledge organization

Cite this article

Wang Wei , Liang Jiwen , Yang Jianlin . Research on the Identification Method of the Topic Hierarchical Structure in a Domain Based on the Citation Network[J]. Library and Information Service, 2022 , 66(17) : 81 -92 . DOI: 10.13266/j.issn.0252-3116.2022.17.008

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