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现代图书情报技术  2014, Vol. 30 Issue (7): 84-91     https://doi.org/10.11925/infotech.1003-3513.2014.07.12
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
科研领域关键词网络的结构特征与启示-基于图情学科的实证研究
陈果, 胡昌平
武汉大学信息资源研究中心, 武汉430072
Research on the Structural Features of Keyword Network of Scientific Research Areas:An Empirical Study of LIS
Chen Guo, Hu Changping
Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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摘要 

[目的]系统揭示科研领域关键同网络在整体层面、节点层面的共性结构特征,为后续研究提供依据。[方法]以多个领域为对象,对比分析其关键同网络与随机网络、小世界网络、无标度网络参数,拟合其指标分布、指标间相关性特征。[结果]关键同网络度序列呈负幂律分布、具有极高平均聚类系数和较短平均路径长度;其同频、节点的度数、中介中心性、特征向量中心性、三元闭包数之间呈线性正相关,节点的聚类系数与度数呈反比。[局限]三个实验领域均从图情学科中选择,未与其他学科进行对比。[结论]科研领域关键同网络是一种特殊的、具有小世界效应、模块性、层次性和高度向心性的无标度网络;以网络指标提取领域知识点有其局限性、网络的层次结构值得发掘、网络的结构和演化模型需考虑以模块为增长单元。

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陈果
胡昌平
Abstract

[Objective] This paper aims to reveal the common structural features of keyword network of scientific research areas both at the macro level and micro level.[Methods] Three keyword networks are constructed. Theirmacro feature properties are compared with ER network, BA network and SW network, and regression analysis on theirmicro feature properties are performed.[Results] The degree sequence of keyword network shows a power-law distribution, the average clustering coefficient of them is extremely high and the average path length of them is short.The degree, betweenness centrality, eigenvector centrality, and triad closure of nodes and the frequency of keywords have positive linear correlations, while there is an inverse relationship between the local clustering coefficient of nodesand their degree.[Limitations] Samples need to be expanded to more other disciplines.[Conclusions] The keyword network of scientific research areas are special scale-free networks with small world effect, modularity, hierarchy and high centripetalism.

Key wordsKeyword network    Co-word network    Network structure    Digital library    Information service    Knowledge management
收稿日期: 2014-03-21      出版日期: 2014-10-20
:  G250.7  
基金资助:

国家自然科学基金项目“数字图书馆社区的知识聚合与服务研究”(项目编号:71273197)和武汉大学人文社会科学研究项目“社会网络环境下基于关系社区发现的用户建模研究”的研究成果之一

通讯作者: 陈果E-mail:delphi1987@qq.com     E-mail: delphi1987@qq.com
作者简介: 作者贡献声明:陈果:设计研究方案,开展实验,撰写论文;胡昌平:提出研究思路,修订论文。
引用本文:   
陈果, 胡昌平. 科研领域关键词网络的结构特征与启示-基于图情学科的实证研究[J]. 现代图书情报技术, 2014, 30(7): 84-91.
Chen Guo, Hu Changping. Research on the Structural Features of Keyword Network of Scientific Research Areas:An Empirical Study of LIS. New Technology of Library and Information Service, 2014, 30(7): 84-91.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.07.12      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2014/V30/I7/84

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