【摘要】 为了更加精准地把握交叉学科的研究热点与发展态势,研究提出一种计算主题学科交叉度的方法,并结合主题强度综合识别热点交叉主题,对各主题的未来发展趋势进行预测。研究选取Web of Science数据库中2000—2019年基因工程领域的论文进行实证分析,首先采用LDA模型挖掘主题,然后通过计算主题强度和主题学科交叉度识别热点交叉主题,最后划分时间窗口,绘制主题强度及主题学科交叉度的变化趋势图,并对结果展开分析。实证结果表明:基因工程领域共有21个重要主题,涵盖7个热点主题,14个学科交叉主题,2个热点交叉主题;根据主题强度变化趋势,将21个主题划分为3个上升型主题,7个下降型主题和11个平稳型主题,其中大部分主题的学科交叉程度呈现上升趋势。更多还原

【Abstract】 In order to more accurately grasp the research hotspots and development trends of interdisciplinary studies, this research proposes a method for calculating the interdisciplinarity of topics and combines it with topic intensity to comprehensively identify hot interdisciplinary topics, and to predict the future development trends of these topics. The study selects papers in the field of genetic engineering from 2000 to 2019 in the Web of Science database for empirical analysis. It first uses the LDA model to mine topics, then identifies hot interdisciplinary topics by calculating topic intensity and topic interdisciplinarity, and finally divides the timeline into windows to draw the trend charts of topic intensity and topic interdisciplinarity, analyzing the results. The empirical results show that there are 21 important topics in the field of genetic engineering, covering 7 hot topics, 14 interdisciplinary topics, and 2 hot interdisciplinary topics. According to the trend of topic intensity, these 21 topics are divided into 3 rising topics, 7 declining topics, and 11 stable topics, with most topics showing an upward trend in the degree of interdisciplinarity.更多还原