摘要
基金项目与科学研究的多维度关联影响分析能够提供细粒度洞察,有助于国家科学战略的科学规划及科技策略制定。本文结合国家自然科学基金数据以及相关领域的论文数据,采用LDA进行主题建模,基于主题相似度识别基金项目与论文之间的关联影响。研究结果表明,较小领域的基金项目与所隶属的更大领域科学研究之间存在关联影响关系,基金项目对科学论文的引导与促进作用更大,且影响作用的持续时间更长。
The multi-dimensional correlation impact analysis of fund projects and scientific research can provide fine-grained insights,which are helpful for the scientific planning of the country’s scientific strategy and the formulation of scientific and technological strategies.This article combines data from the National Natural Science Foundation of China and paper data from related fields,and uses LDA for topic modeling.The correlation impacts between fund projects and papers are identifiedbased on topic similarity.The results show that there are correlation impacts between fund projects in smaller field and scientific research in the larger field.Fund projects have a greater role in guiding and promoting scientific papers,and the duration of the effect is longer.
作者
吕晶
郭思月
滕广青
马卓
LV Jing;GUO SiYue;TENG GuangQing;MA Zhuo(School of Information Science and Technology,Northeast Normal University,Changchun 130117,China;Institute of Scientific and Technical Information of Jilin Province,Changchun 130033,China)
出处
《数字图书馆论坛》
CSSCI
2019年第12期18-27,共10页
Digital Library Forum
基金
国家社会科学基金项目“基于复合数据的科技信息跨维度挖掘与推荐研究”（编号：19BTQ063）资助
关键词
基金项目
科学论文
主题建模
主题关联
影响周期
Fund Project
Scientific Paper
Topic Modeling
Topic Correlation
Impact Duration
