A new method for measuring the originality of academic articles based on knowledge units in semantic networks

作者：

Highlights：

• The originality of papers is measured based knowledge units’ network, which is captured by the content of papers.

• The content of papers is divided into three parts: research topics, research methods and research results by characteristic words and location in abstract.

• Comparing with citations network analysis and knowledge combinations, the method is more reasonable and exact in measuring originality of academic papers.

• The practical implication of our research is that to propose a new method to measure the originality of papers.

摘要

•The originality of papers is measured based knowledge units’ network, which is captured by the content of papers.•The content of papers is divided into three parts: research topics, research methods and research results by characteristic words and location in abstract.•Comparing with citations network analysis and knowledge combinations, the method is more reasonable and exact in measuring originality of academic papers.•The practical implication of our research is that to propose a new method to measure the originality of papers.

论文关键词：Originality measurement,Semantic network,Natural language processing (NLP),Knowledge unit

论文评审过程：Received 1 March 2021, Revised 19 May 2022, Accepted 25 May 2022, Available online 6 June 2022, Version of Record 6 June 2022.

论文官网地址：https://doi.org/10.1016/j.joi.2022.101306