基于EI的国内航空类院校知识共现学科特征研究

马明华, 刘建国, 马跃, 苏万鹏

知识管理论坛 ›› 2016, Vol. 1 ›› Issue (4) : 293-302.

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PDF(3035 KB)
知识管理论坛 ›› 2016, Vol. 1 ›› Issue (4) : 293-302. DOI: 10.13266/j.issn.2095-5472.2016.035

基于EI的国内航空类院校知识共现学科特征研究

  • 马明华, 刘建国, 马跃, 苏万鹏
作者信息 +

Research on the Subject Characteristics of Knowledge Co-occurrence of Domestic Aviation Colleges Based on Engineering Index

  • Ma Minghua, Liu Jianguo, Ma Yue, Su Wanpeng
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文章历史 +

摘要

[目的/意义] 通过基于知识共现的学科特征分析,为国内航空类院校的学科建设和图书馆信息资源配置提供参考。[方法/过程] 通过提取航空院校被EI收录的期刊论文的文献学科分类码,利用词频统计、词共现分析、社会网络分析等方法,分析国内航空院校学科特点,并引入皮尔逊相关系数指标,通过网络图谱中心性特征得到了航空院校学科极强相关情况下的学科交叉融合特征。[结果/结论] 航空院校学科主题呈现长尾分布特征及“二八现象”;学科知识共现中,学科关联交叉形成了六类区、四学科群知识图谱。

Abstract

[Purpose/significance]The purpose of this paper is to provide a reference for the subject construction and the library information resources allocation of the domestic aviation colleges.[Method/process]In this study, we analyze the subject characteristics of domestic aviation colleges through extracting literature subject classification codes in EI journal papers of aviation colleges, using word frequency statistics, word co-occurrence analysis method and social network analysis method. Besides, the Pearson correlation coefficiency was introduced, and the characteristics of interdisciplinary integration of aviation colleges under the condition of strong related disciplines were obtained by the central feature of the network map. [Result/conclusion] The result shows that the subject characteristics of domestic aviation colleges appear the long-tail distribution and the Pareto law. The subject association forms four subgroups and six categories in the knowledge co-occurrence map.

关键词

航空社会 / 网络学科 / 交叉融合

Key words

aviation social / network interdisciplinary / integration

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导出引用
马明华, 刘建国, 马跃, 苏万鹏. 基于EI的国内航空类院校知识共现学科特征研究[J]. 知识管理论坛. 2016, 1(4): 293-302 https://doi.org/10.13266/j.issn.2095-5472.2016.035
Ma Minghua, Liu Jianguo, Ma Yue, Su Wanpeng. Research on the Subject Characteristics of Knowledge Co-occurrence of Domestic Aviation Colleges Based on Engineering Index[J]. Knowledge Management Forum. 2016, 1(4): 293-302 https://doi.org/10.13266/j.issn.2095-5472.2016.035

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