In order to clarify the current interdisciplinary development process, this paper takes Library and Information Science and Management as an example, and firstly constructs an interdisciplinary literature set based on K-Means clustering algorithm, and then extracts interdisciplinary topics using LDA model; finally, it combines the first/last discrete time method to portray the interdisciplinary topic intensity and topic content evolution trend. The results shows that topics such as “government data openness, blockchain and public opinion gover...
