图书情报工作

图书情报工作 >

2013 , Vol. 57 >Issue 03: 22 - 26,55

DOI: https://doi.org/10.7536/j.issn.0252-3116.2013.03.004

《图书情报工作》杂志社出版基金：基于引文网络主路径的领域演化结构识别研究

以主路径为种子文献的领域演化脉络及凝聚子群识别

  • 韩毅 ,
  • 周畅 ,
  • 刘佳
展开
  • 西南大学计算机与信息科学学院
韩毅,西南大学计算机与信息科学学院副教授,硕士生导师,E-mail:hanyi72@swu.edu.cn;周畅,西南大学计算机与信息科学学院硕士研究生;刘佳,西南大学计算机与信息科学学院硕士研究生。

收稿日期: 2012-10-15

  修回日期: 2013-01-05

  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。

收起

To Identify Domain Evolving Structure and Converged Sub-groups Based on Main Path as Seeds Literature

  • Han Yi ,
  • Zhou Chang ,
  • Liu Jia
Expand
  • College of Computer and Information Science, Southwest University, Chongqing 400715

Received date: 2012-10-15

  Revised date: 2013-01-05

  Online published: 2013-02-05

Fold

摘要

以引文网络领域的文献为样本,通过ISI WoS检索并下载引文数据,利用HistCiteTM与Pajek软件识别出样本领域引文网络的主路径,并以主路径为种子文献提取与主路径关联的最大核心弱组分及凝聚子群。结果表明,与主路径关联的最大核心弱组分和凝集子群能展示丰富的领域演化结构,是一种全新的基于连通性的领域演化结构识别方法。

关键词： 引文网络; 主路径; 领域演化结构; HistCiteTM; Pajek

本文引用格式

韩毅 , 周畅 , 刘佳 . 以主路径为种子文献的领域演化脉络及凝聚子群识别[J]. 图书情报工作, 2013 , 57(03) : 22 -26,55 . DOI: 10.7536/j.issn.0252-3116.2013.03.004

Abstract

The domain of citation network is taken as the sample and its citation data is retrieved and downloaded from the ISI WoS. With HistCiteTM and Pajek, the main path of the sample domain is extracted and visualized. Main path viewed as seeds literature, the largest core weak components network and converged sub-groups are identified, which are associated with the main path and can enrich the domain evolving structure. It is a new method to identify domain evolving structure on the base of connectivity of citation network.

Key words： citation network; main path; domain evolving structure; HistCiteTM; Pajek

参考文献

[1] 加菲尔德.引文索引法的理论及应用[M].侯汉清,陆宝树,马张华,等译.北京:北京图书馆出版社,2004:69-83.

[2] Hummon N, Doreian P. Connectivity in a citation network: The development of DNA theory[J].Social Networks,1989, 11(1): 39-63.

[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[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]. Omega, 2013,41(1):3-15.

[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] Batagelj V. Efficient algorithms for citation network analysis[OL].[2009-10-17]. http://www.google.com.hk/search?hl=zh-CN&source=hp&q=Effcient+Algorithm+for+Citation+Networks+Analysis&btnG=Google+%E6%90%9C%E7%B4%A2&aq=f&aqi=&aql=&oq=&gs_rfai=.

Options
文章导航

/

〈 〉