摘要
[目的/意义]学科研究热点的发掘有助于了解其发展动向,把握研究方向。热点漂移程度旨在用数据关系描述某一学科某一时间段内的研究热点在接下来一段时期内的变化程度,揭示其热点研究的持续性和规律性。[方法/过程]通过基于学术论文关键词词频统计的文献计量方法,初步构建了研究热点漂移程度计算模型,并通过对"高等教育理论""艺术理论""史学史""自动控制理论""外科护理学"和"建筑经济学"6个学科的实证分析,计算出了这些学科2010年研究热点5年漂移程度。[结果/结论]研究表明,"建筑经济学""史学史"两个学科漂移程度较高,"自动控制理论"和"艺术理论"两个学科居中,"高等教育理论"和"外科护理学"两个学科较低。研究结果具有显著的差异性。热点漂移程度揭示了各学科研究热点的变化程度和关键词词频的分布规律,并在一定程度上体现出了学科的交叉性。
[Purpose/significance]The exploration of the hotspots of subject research is helpful to understand its development trends and grasp the research direction.The"Hotspot Drift Degree"is intended to describe the extent of the hotspots of subject research in a period of time,and to reveal the persistence and regularity of its hot research.[Method/process]Through the method of bibliometric based on keywords frequency statistics of academic papers,the calculation model of research Hotspot Drift Degree is preliminarily constructed,and through the empirical analysis of the six disciplines of"Higher Education Theory","Artistic Theory""History of Historiography""Automatic Control Theory""Surgical Nursing""Architectural Economics",calculates the Hotspot Drift Degree in the five years of research in 2010.[Result/conclusion]The research shows that the three disciplines of"Architectural Economics"and"Architectural Economics"have a high Hotspot Drift Degree,"Automatic Control Theory"and"Artistic Theory"are at a medium level,"Higher Education Theory"and"Surgical Nursing"have a relatively low Hotspot Drift Degree;the Hotspot Drift Degree reveals the degree of change in the research hotspots of various disciplines and the distribution of keywords frequency,and to a certain extent,it reflects the intersection of disciplines.
出处
《情报理论与实践》
CSSCI
北大核心
2020年第2期100-105,共6页
Information Studies:Theory & Application
关键词
研究热点
热点漂移程度
词频统计
实证分析
模型构建
research hotspots
hotspot drift degree
word frequency statistics
empirical analysis
model construction