Abstract:
In order to more accurately grasp the hot spots and development trends of interdisciplinary research, this study proposes an integrated approach based on theme intensity and theme interdisciplinary degree to identify hot interdisciplinary themes and predict the future development of interdisciplinary themes. In this study, papers in the field of genetic engineering from 2000-2019 in Web of Science database were selected for empirical analysis. Firstly, themes were mined using LDA model, then hot interdisciplinary themes were identified by calculating theme intensity and interdisciplinary degree, and finally, time windows were divided to plot variation trend of theme intensity and interdisciplinary degree and the results were analyzed. The empirical results show that there are 21 important themes in the field of genetic engineering, including 7 hot themes, 14 interdisciplinary themes, and 2 hot interdisciplinary themes. According to the variation trend of theme intensity, the 21 themes are classified into 3 ascending themes, 7 descending themes, and 11 stable themes, and the interdisciplinary degree of most themes shows an increasing trend.