学科交叉度的点面关系研究

发布时间：2018-04-10 21:31

  本文选题：引文内容 + 术语　； 参考：《图书馆论坛》2017年10期

【摘要】：学科交叉研究分为宏观态势研究和微观主题研究,二者相结合的研究甚少。文章通过分析宏观学科交叉和微观学科主题交叉是否存在相关关系,探究学科交叉内部规律。首先采集学术论文,解析学科信息和引文内容,计算学科交叉度(宏观)、主题学科交叉度和主题交叉度分布熵指标,探究指标间的相关关系;考虑到存在一定量的论文同时从属于多个学科,为规避该影响,设计算法进行对比实验。实证表明:学科交叉度和平均主题学科交叉度呈正相关,学科交叉度和主题交叉度分布熵呈正相关;学科间共有论文对学科交叉度、平均主题交叉度和主题学科交叉度分布熵的相关性分析影响较小。
[Abstract]:Interdisciplinary research is divided into macro-situation research and micro-theme study, the combination of the two research is very little.This paper probes into the internal law of subject crossing by analyzing whether there is a correlation between macro subject crossing and micro subject subject crossing.Firstly, we collect academic papers, analyze the subject information and citation content, calculate the degree of subject intersection (macroscopic degree, subject degree of intersection and thematic intersection degree distribution entropy index), and explore the correlation between the indexes.Considering the existence of a certain number of papers at the same time belong to many disciplines, in order to avoid this effect, the algorithm is designed to carry out comparative experiments.The empirical results show that there is a positive correlation between the subject intersection degree and the average subject intersection degree, and a positive correlation between the subject intersection degree and the subject intersection degree distribution entropy.The correlation analysis of the distribution entropy of average subject crossing degree and subject subject crossing degree has little influence.
【作者单位】： 南京理工大学;
【基金】：国家社科基金青年项目“社交媒体视域下的跨学科用户发现及其推荐研究”(项目编号:17CTQ047)资助
【分类号】：G353.1
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本文编号：1732997