Enhanced author bibliographic coupling analysis using semantic and syntactic citation information

Author bibliographic coupling analysis (ABCA) is an extension of bibliographic coupling theory at the author level and is widely used in mapping intellectual structures and scholarly communities. However, the assumption of equal citations and the complete dependence on explicit counts may affect its effectiveness in today's complex context of discipline development. This research proposes a new approach that uses multiple full-text data to improve ABCA called enhanced author bibliographic coupling analysis. By mining the semantic and syntactic information of citations, the new approach considers more diverse dimensions as the basis of author bibliographic coupling strength. Comparative empirical research was then conducted in the field of oncology. The results show that the new approach can more accurately reveal the relevant relations between authors and map a more detailed domain intellectual structure.