图书情报工作 ›› 2017, Vol. 61 ›› Issue (18): 98-106.DOI: 10.13266/j.issn.0252-3116.2017.18.013

• 知识组织 • 上一篇    下一篇

基于网络Hub的领域核心知识涌现研究

安宁1, 滕广青1, 白淑春2, 辛海3   

  1. 1 东北师范大学信息科学与技术学院 长春 130117;
    2 吉林大学图书馆 长春 130012;
    3 东北师范大学东北民俗博物馆 长春 130117
  • 收稿日期:2017-05-22 修回日期:2017-07-21 出版日期:2017-09-20 发布日期:2017-09-20
  • 通讯作者: 滕广青(ORCID:0000-0002-1053-0959),教授,通讯作者,E-mail:tengguangqing@163.com
  • 作者简介:安宁((ORCID:0000-0002-9579-0150),硕士研究生;白淑春(ORCID:0000-0001-6017-7156),副研究馆员;辛海((ORCID:0000-0003-0988-3711),副研究馆员。
  • 基金资助:
    国家自然科学基金面上项目"基于网络结构演化的Folksonomy模式中社群知识组织与知识涌现研究"(项目编号:71473035)研究成果之一。

Research on the Emergence of Core Knowledge Based on the Network Hub

An Ning1, Teng Guangqing1, Bai Shuchun2, Xin Hai3   

  1. 1 School of Information Science and Technology, Northeast Normal University, Changchun 130117;
    2 Library of Jilin University, Changchun 130012;
    3 Northeast Folklore Museum, Northeast Normal University, Changchun 130117
  • Received:2017-05-22 Revised:2017-07-21 Online:2017-09-20 Published:2017-09-20

摘要: [目的/意义]探索领域知识网络中的核心知识涌现有助于揭示知识发展的内在机理,对于掌握领域知识发展脉络以及发展模式具有重要意义。[方法/过程]以复杂网络的思想为基础,基于关键词的邻接关系构建领域知识网络。采用Hub涌现的分析方法,对领域知识网络从时间序列上进行动态跟踪与分析。从知识节点的度序列分布、熵值分析、特定节点涌现3个方面对领域知识网络的知识涌现现象进行分析。[结果/结论]研究结果表明:领域核心知识涌现过程中随机性与非随机性交互影响;领域核心知识涌现在总体上呈现由随机性主导到结构性主导的演进趋势;领域中涌现出的核心知识并非是一劳永逸一成不变的。

关键词: 知识网络, 知识涌现, 知识关联, 复杂网络

Abstract: [Purpose/significance] Exploring the emergence of core knowledge in the domain knowledge network can help to reveal the inherent mechanism of knowledge development, which is of great significance to master the context and mode of knowledge development.[Method/process] Based on the idea of the complex network, the domain knowledge networks were constructed based on the adjacency relation of keywords. By using the analysis method of the hub emergence, the domain knowledge networksweredynamically tracked and analyzed along the time series. This article analyzed the knowledge emergence of the domain knowledge networks from three aspects——the degree distribution of knowledge nodes, the entropy analysis, and the emergence of the specific node.[Result/conclusion] The results show:the randomness and non-randomness affect each other in the process of the emergence of core knowledge; the emergence of core knowledge shows the evolving trend from randomness dominant to structure dominant; the emerging core knowledge is not once and for all.

Key words: knowledge network, knowledge emergence, knowledge relation, complex network

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