Libraly Journal

Libraly Journal ›› 2021, Vol. 40 ›› Issue (2): 5-28.

• THEORETICAL DISCUSSION • Previous Articles     Next Articles

Extraction and Analysis of Domain Keywords Based on Network of Global Structure Relationship

Wei Yumei, Teng Guangqing, Ma Zhuo, Tuo Rui    

  • Online:2021-03-04 Published:2021-03-04

Abstract: Extraction and analysis of important keywords and their evolution patterns are of great significance for exploring and predicting research priorities and research trends in the domain knowledge. This article uses the eigen decomposition to extract the important structural components in the domain knowledge networks, extract and analyze important keywords in the domain from the perspective of global structural relationship. The results show that, from the perspective of network global structure, the domain always maintains partially constant important keywords; that the correlations between constant keywords are sparse and knowledge correlations exist with structural hole; that the new important keywords follow the emerging model where they become the important structure first and then the core correlation.