Content-based author co-citation analysis
作者：
Highlights：
• This study proposes a content-based author co-citation analysis (ACA) method for measuring the similarity between co-cited authors by considering author's citation content.
• We extract citing sentences from the full-text articles in the information science domain and calculate the author similarity between two authors using citing sentence similarity.
• We compare our method with traditional ACA and analyze the differences between traditional ACA and our proposed content-based ACA.
• The results show that our approach provides more details about the sub-disciplines in the domain than with traditional ACA.
摘要
•This study proposes a content-based author co-citation analysis (ACA) method for measuring the similarity between co-cited authors by considering author's citation content.•We extract citing sentences from the full-text articles in the information science domain and calculate the author similarity between two authors using citing sentence similarity.•We compare our method with traditional ACA and analyze the differences between traditional ACA and our proposed content-based ACA.•The results show that our approach provides more details about the sub-disciplines in the domain than with traditional ACA.
论文关键词：Author co-citation analysis,Citation content analysis,Bibliometrics,Information science,Citation analysis
论文评审过程：Received 20 August 2013, Revised 27 October 2013, Accepted 2 December 2013, Available online 21 December 2013.
论文官网地址：https://doi.org/10.1016/j.joi.2013.12.001
