图书情报工作 ›› 2016, Vol. 60 ›› Issue (9): 106-115.DOI: 10.13266/j.issn.0252-3116.2016.09.015

• 情报研究 • 上一篇    下一篇

学科知识扩散过程探测研究——以社会网络领域为例

岳增慧1, 许海云2   

  1. 1. 济宁医学院医学信息工程学院 日照 276826;
    2. 中国科学院成都文献情报中心 成都 610041
  • 收稿日期:2016-03-12 修回日期:2016-04-23 出版日期:2016-05-05 发布日期:2016-05-05
  • 作者简介:岳增慧(ORCID:0000-0002-9192-9071),讲师,博士,E-mail:yzh66123@126.com;许海云(ORCID:0000-0002-7453-3331),副研究员,博士。
  • 基金资助:
    本文系山东省自然科学基金联合专项"基于引文网络的学科知识扩散研究"(项目编号:ZR2015GL015)和济宁医学院博士科研启动基金项目"学科知识创新扩散研究"(项目编号:JY2015BS14)研究成果之一。

Research on the Process of Knowledge Diffusion Among Scientific Disciplines——Taking the Field of Social Network as an Example

Yue Zenghui1, Xu Haiyun2   

  1. 1. School of Medical Information Engineering, Jining Medical University, Rizhao 276826;
    2. Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041
  • Received:2016-03-12 Revised:2016-04-23 Online:2016-05-05 Published:2016-05-05

摘要: [目的/意义]在知识经济时代,学科知识的扩散与吸收极大地促进了学科的协同、交叉、融合、发展与创新。提出一种量化指标测度与知识语义信息挖掘相结合的学科知识扩散过程探测方法,以期丰富和完善学科知识扩散研究范式与方法,为学科知识管理及决策制定提供可资借鉴的参考。[方法/过程]在经典量化指标测度的基础上,利用形式概念分析方法,结合学科知识语义信息,对知识在学科中的传播扩散过程进行系统研究,挖掘学科知识扩散数量及主题特征;建立学科知识扩散Logistic模型,并对其演化趋势进行预测;最后,以社会网络领域为例,进行实证研究。[结果/结论]知识在各学科中的应用范畴不断拓展,其扩散过程符合幂率分布特征;不同学科吸纳和接受的领域知识主题存在一定的差异;当前社会网络知识在学科中的传播扩散进程正处于成熟期。

关键词: 学科知识扩散, 指标测度, 形式概念分析, 主题挖掘, Logistic模型, 趋势预测

Abstract: [Purpose/significance] In the era of knowledge-driven economy, the diffusion and absorption of disciplinary knowledge greatly promote the disciplinary collaboration, integration, development and innovation. This paper proposes a method with the combination of the quantitative index measurement and the semantic information mining of knowledge to explore the diffusion process of disciplinary knowledge, expecting to enrich and perfect the research paradigms and methods of disciplinary knowledge diffusion, and provide references for knowledge management and decision making. [Method/process] Firstly, on the basis of the classic quantitative index measurement, a systematic study on disciplinary knowledge diffusion was conducted to explore the quantity and theme features of disciplinary knowledge diffusion by using the formal concept analysis and semantic information of disciplinary knowledge. Secondly, a Logistic model of disciplinary knowledge diffusion was constructed and the evolution trend was predicted. Thirdly, an empirical study was further carried on by taking the field of social network as an example. [Result/conclusion] Firstly, the application scopes of knowledge in different disciplines are unceasingly expanded, and the diffusion process of knowledge conforms to the characteristics of power law distribution. Secondly, it shows certain differences of different disciplines to absorb and accept knowledge subjects. Thirdly, the diffusion process of current social network knowledge in different disciplines is in the mature stage.

Key words: knowledge diffusion among scientific disciplines, index measurement, formal concept analysis, subject mining, Logistic model, trend prediction

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