[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.
Yue Zenghui
,
Xu Haiyun
. Research on the Process of Knowledge Diffusion Among Scientific Disciplines——Taking the Field of Social Network as an Example[J]. Library and Information Service, 2016
, 60(9)
: 106
-115
.
DOI: 10.13266/j.issn.0252-3116.2016.09.015
[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.
