Abstract

On the basis of identifying the interdisciplinary research topics in the field of Library and Information Science, this paper constructed Altmetrics indicator systems and makes SOFM neural network clustering analysis on the comprehensive influence of the research topics, in order to provide reference for the interdisciplinary crossover and integration of Library and Information discipline in China under the background of “New Liberal Arts”. The study found that the 20 interdisciplinary research topics could be divided into four types according to their influence composition characteristics: comprehensive hotspots, online social hotspots, academic hotspots, potential hotspots. Interdisciplinary hot topics were important for the intersection and integration of library and information field and other disciplines, and high impact research topics deserved close attention from Chinese scholars.

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