Application of HITS Algorithm in Web Mining in Literature Evaluation and Empirical Study

Abstract

This article has applied the HITS algorithm in Web mining in the evaluation of academic literature. Through the empirical analysis of academic articles on the credit risk of the domestic banks, this article proves the feasibility and comprehensiveness of using the HITS algorithm in literature evaluation and finds that the generality and authority of corresponding theses have enormous space for further study and development.

Keywords:

• Citation analysis
• Credit risk
• HITS algorithm
• Literature evaluation

Mathematics Subject Classification:

• 97K80

Acknowledgments

This article is supported by the Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China. This research was partially supported by the NSFC (71071155).