情报研究

学科知识扩散过程探测研究——以社会网络领域为例

  • 岳增慧 ,
  • 许海云
展开
  • 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
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。

收稿日期: 2016-03-12

  修回日期: 2016-04-23

  网络出版日期: 2016-05-05

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 Zenghui ,
  • Xu Haiyun
Expand
  • 1. School of Medical Information Engineering, Jining Medical University, Rizhao 276826;
    2. Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041

Received date: 2016-03-12

  Revised date: 2016-04-23

  Online 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。

本文引用格式

岳增慧 , 许海云 . 学科知识扩散过程探测研究——以社会网络领域为例[J]. 图书情报工作, 2016 , 60(9) : 106 -115 . DOI: 10.13266/j.issn.0252-3116.2016.09.015

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.

参考文献

[1] BRADFORD S C. Sources of information on specific subjects [J]. Engineering, 1934, 137(3550):85-86.
[2] LIU Y, ROUSSEAU R. Knowledge diffusion through publications and citations: a case study using ESI-fields as unit of diffusion [J]. Journal of the American Society for Information Science and Technology, 2010, 61(2): 340-351.
[3] YU G, WANG M, YU D. Characterizing knowledge diffusion of nanoscience & nanotechnology by citation analysis [J]. Scientometrics, 2010, 84(1): 81-97.
[4] 邱均平,瞿辉,罗力.基于期刊引证关系的学科知识扩散计量研究-以我国"图书馆、情报、档案学"为例[J].情报科学,2012,30(4):481-485,491.
[5] 王亮,张庆普,于光,等.基于引文网络的知识扩散速度测度研究[J].情报学报,2014,33(1):33-44.
[6] 岳增慧,许海云,方曙.基于结构参数的科研合作网络知识扩散建模研究[J].情报学报,2015,34(5):471-483.
[7] 岳增慧,许海云,方曙.基于个体行为的科研合作网络知识扩散建模研究[J].情报学报,2015,34(8):819-832.
[8] 岳增慧,许海云,方曙.基于微分动力学的科研合作网络知识扩散模型及影响机制研究[J].情报学报,2015,34(11):1132-1142.
[9] 宋歌.学术创新的扩散过程研究[J].中国图书馆学报,2015,41(1):62-75.
[10] 许海云,郭婷,岳增慧,等.基于TI指标系列的情报学学科交叉研究[J].情报学报,2015,34(10):1067-1078.
[11] NOOY W, MRVAR A, BATAGELJ V. Exploratory social network analysis with pajek [M]. London: Cambridge University Press, 2005.
[12] WILLE R. Restructuring lattice theory: an approach based on hierarchies of concepts[M].Berlin:Springer Netherlands, 1982.
[13] WILLE R. Formal concept analysis as mathematical theory of concepts and concept hierarchies [M].Berlin:Springer Berlin Heidelberg, 2005.
[14] 张乐勤,陈发奎. 基于Logistic模型的中国城镇化演进对耕地影响前景预测及分析[J]. 农业工程学报, 2014, 30(4): 1-11.
[15] 社会网络 [EB/OL].[2016-02-18]. http://baike.baidu.com/view/1483745.htm.
[16] RAINIE L, WELLMAN B. Networked: the new social operating system [M]. London: The MIT Press, 2012.
[17] 王夏洁, 刘红丽. 基于社会网络理论的知识链分析[J]. 情报杂志, 2007(2): 18-21.
[18] Web of Science [EB/OL]. [2016-01-16]. http://isiknowledge.com/.
[19] 刘萍, 吴琼. 基于形式概念分析的学科知识结构探测-以图书情报学为例[J]. 图书情报工作, 2014, 58(18): 50-65.
[20] 滕广青, 任晶. 国外社会网络分析在知识管理领域的应用研究[J]. 数字图书馆论坛, 2014(6): 35-42.
[21] 胡吉明, 胡昌平, 邓胜利. 社会网络环境下的信息推荐研究述评[J]. 情报资料工作, 2013(2): 35-39.
[22] MEYER P S, YUNG J W, AUSUBEL J H. A primer on logistics growth and substitution: the mathematics of the logletlab software[J].Technological forecasting and social change, 1999, 61(3): 247-271.
[23] LU L Y Y, LIU J S. An innovative approach to identify the knowledge diffusion path: the case of resource-based theory [J]. Scientometrics, 2013, 94(1): 225-246.
文章导航

/

〈 〉