引文网络的主路径特征研究——以富勒烯领域为例
收稿日期: 2012-10-15
修回日期: 2013-01-04
网络出版日期: 2013-02-05
基金资助
本文系《图书情报工作》杂志社出版基金项目"基于引文网络主路径的领域演化结构识别研究"(项目编号:2012CB002)和西南大学科技基金资助项目"基于引文网络主路径的学科演化结构识别与演化动力学机制研究"(项目编号:SWU112001)研究成果之一。
The Characteristics of Main Path in Citation Network: Taking Fullerenes Field for Example
Received date: 2012-10-15
Revised date: 2013-01-04
Online published: 2013-02-05
以富勒烯领域引文数据为样本,通过HistCiteTM生成不同规模与格式的引文网络,利用Pajek集成的三种主路径算法分析不同数据格式、不同网络规模的主路径组分与形态差异,运用曲线拟合方法探索主路径规模与主路径长度间的关系。结果表明:三种主路径算法结果没有显著差异,主路径长度与网络规模呈对数关系,主路径在网络规模约为总顶点数40%后趋于稳定。
关键词： 引文网络; 主路径; 领域演化结构; HistCiteTM; Pajek
樊志伟 , 韩芳芳 , 刘佳 . 引文网络的主路径特征研究——以富勒烯领域为例[J]. 图书情报工作, 2013 , 57(03) : 17 -21,60 . DOI: 10.7536/j.issn.0252-3116.2013.03.003
Taking citation data of fullerenes field as sample, different sizes and formats citation networks are generated by HistCiteTM. With the three main path algorithms integrated into Pajek, which are search path count, search path link count and search path node pair, this paper analyzes the differences of components and morphology between different data formats and network scales of main paths. It explores the relationship of scale and length of main path with curve fitting method. The results show that there are not significant difference between the results of three main path algorithms, there are logarithmic relation between the length of the main path and the network scale, and that the main path tends to be stable at a certain network scale (about 40% of the total number of vertices).
Key words： citation network; main path; domain evolving structure; HistCiteTM; Pajek
[1] Björk B C. A model of scientific communication as a global distributed information system [OL].[2009-10-21]. http://informationr.net/ir/12-2/p307.pdf.
[2] Braam R R, Moed H F, van Raan A F J. Mapping of science by combined co-citation and word analysis. II: Dynamical aspects[J]. Journal of the American Society for Information Science,1991,42(4):252-266.
[3] Carley K M, Hummon N, Harty M. Scientific influence: An analysis of the main path structure in the journal of conflict resolution[J]. Science Communication,1993,14(4):417-447.
[4] Verspagen B. Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research.Maastricht Economic Research Institute on Innovation and Technology. 2005[OL].[2009-11-13]. http://dimetic.dime-eu.org/dimetic_files/Lect%209%20to%20Verspagen%20-%20Verspagen.pdf.
[5] Tampubolon G, Ramlogan R.Networks and temporality in the development of a radical medical treatment[J]. Graduate Journal of Social Science,2007,4(1):54-77.
[6] Calero-Medina C, Noyons Ed C M. Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field[J].Journal of Informetrics, 2008,2(4):272-279.
[7] 杨中楷,刘佳.基于专利引文网络的技术轨道识别研究——以太阳能光伏电池板为例[J].科学学研究,2011,29(9): 1311-1317.
[8] 董克,刘德洪,江洪,等.基于主路径分析的结果改进研究[J].情报理论与实践, 2011,34 (3):113-116.
[9] Harris J K, Luke D A, Zuckerman R B, et al. Forty years of secondhand smoke research:The gap between discovery and delivery[J].American Journal of Preventive Medicine, 2009,36(6):538–548.
[10] Gao Xia, Guan Jiancheng. Network model of knowledge diffusion[J]. Scientometrics,2012,90(3):749–762.
[11] Liu J S, Lu L Y Y, Lu Wenmin, et al. Data envelopment analysis 1978–2010: A citation-based literature survey[J/OL]. Omega-The International Journal of Management Science. doi:10.1016/j.omega.2010.12.006.
[12] 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.
[13] Small H.Nuclear physics in the physical review 1927-1940[R].Unpulished report of a study at the American Institute of Physics,1970.
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