| 基于时间加权关键词词频分析的学科热点研究 |
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| 引用本文： | 奉国和,孔泳欣.基于时间加权关键词词频分析的学科热点研究[J].情报学报,2020,39(1):100-110. |
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| 作者姓名： | 奉国和 孔泳欣 |
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| 作者单位： | 华南师范大学经济与管理学院信息管理系,广州 510006;华南师范大学经济与管理学院信息管理系,广州 510006 |
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| 基金项目： | 国家社会科学基金项目“基于文本挖掘的科技文献知识发现研究”（16BTQ071） |
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| 摘 要： | 基于生命周期理论和词频分析方法,对学科领域发展过程进行客观合理的动态跟踪与分析。构建时间-关键词频次矩阵,结合相对词频、词频变化率,引入逻辑斯谛(Logistic)函数赋予词频按时间递减的权重,设计时间加权关键词词频分析模型,计算关键词综合值,揭示学科研究热点及变化趋势;并以CNKI和CSSCI收录的18种图情领域核心期刊2013-2017年所刊载的文献关键词作为实验对象,从高频词、中频词、低频词三个方面验证模型的有效性和准确性。模型计算结果显示,上升型高频词排名上浮,下降型高频词排名下沉,可快速识别上升型高频词;同时排名靠前的低频词具有发展潜能,为学者把握未来研究趋势提供科学判断依据。
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| 关 键 词： | 词频分析 时间加权 逻辑斯谛函数 研究热点 趋势分析 |
Subject Hotspot Research Based on Word Frequency Analysis of Time-Weighted Keywords |
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| Feng Guohe,Kong Yongxin.Subject Hotspot Research Based on Word Frequency Analysis of Time-Weighted Keywords[J].Journal of the China Society for Scientific andTechnical Information,2020,39(1):100-110. |
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| Authors: | Feng Guohe Kong Yongxin |
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| Institution: | (The Department of Information Management,School of Economics&Management,South China Normal University,Guangzhou 510006) |
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| Abstract: | Based on life cycle theory and word frequency analysis, the development of a research field can be objectively tracked and analyzed. This study constructed a time-keyword frequency matrix, combining relative word frequency and word frequency change rate;proposed a logistic function giving keyword time-descending weights;and designed a timeweighted keyword word frequency analysis model that calculates comprehensive values of keywords to reveal research hotspots and trends in a research field. The keywords of papers published in 18 core library and information science periodicals in CNKI and CSSCI from 2013 to 2017 were analyzed and categorized as high-frequency, intermediate-frequency, or low-frequency to examine the model s effectiveness and accuracy. The model’s calculations rank rising high-frequency words higher than declining high-frequency words, enabling quick identification of rising high-frequency words. Similarly,the model’s rankings also allow scholars to identify low-ranking low-frequency words with the potential for greater development. This provides a basis for scientific judgment regarding future research trends. |
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| Keywords: | word frequency analysis time weighting logistic function research hotspot trend analysis |
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