Enhanced Author Bibliographic Coupling Analysis Using Syntactic and Semantic Citation Information

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