Abstract: 【Purpose/significance】In science research, the Interdisciplinary is becoming more and more widespread. The
recognition of interdisciplinary topics can reveal the intrinsic relationship between disciplines and is the basis for promot⁃
ing interdisciplinary cooperation.【Method/process】This paper combines cluster analysis, LDA model, co-occurrence topic
knowledge network and other methods to discover and reveal the topics of interdisciplinary and the social networks of these
topics in their respective disciplines. In the experiment, this paper selected 56 CSSCI journal papers in 2017 for Library
and Information Science and Education for cross-topic identification and knowledge network construction.【Result/conclu⁃
sion】By comparing with the keyword co-occurrence method, this paper has a better research result.