中文    English

Agricultural Library and Information ›› 2019, Vol. 31 ›› Issue (11): 34-41.doi: 10.13998/j.cnki.issn1002-1248.2019.10.19-0869

• Research paper • Previous Articles     Next Articles

Research on Analytical Method of Scientific Research Cooperation Network in Subject Analysis

DENG Zhiwen, DU Pingping, JIA Zhiyong   

  1. Library, China University of Mining and Technology, Jiangsu Xuzhou 22116, China
  • Received:2019-08-09 Online:2019-11-05 Published:2019-12-20

Abstract: With the development of social network analysis theory and the improvement of visualization tools, scientific research cooperation network has been more and more used in scientific research and disciplinary analysis. This paper discusses the theoretical basis of scientific research cooperation network for disciplinary analysis from the perspective of the structural characteristics of social network, and expounds the existing problems in the process of analysis. Finally, aiming at the construction method of the weights of network relations, the influencing factors are analyzed, and improvement strategies are given, which provide ideas for improving the calculation theory of relationship strength in scientific research cooperation network.

Key words: scientific research network, network centrality, knowledge map, relationship weights

CLC Number: 

  • G644.5
[1] GOFFMAN C.And what is your Erdos number?[J].American Mathematical Monthly,1969,76(7) : 791.
[2] KRETSCHMER H.Patterns of behaviour in coauthorship net-works of invisible colleges[J].Scientometrics,1997,40(3):579-591.
[3] Newman M E J. Scientific collaboration networksⅡ: Shortest paths, weighted networks, and centrality[J]. Physical Review E, 2001, 64(1): 16132.
[4] Santiago José Villanueva Serrano, José Ignacio de Granda Orive, Benavent R A, et al. Spanish Medical Center Collaboration on Smoking Research From 1999 Through 2003 According to the Science Citation Index[J]. Archivos De Bronconeumología, 2007, 43(7):378-385.
[5] 邱均平,温芳芳.作者合作程度与科研产出的相关性分析——基于“图书情报档案学”高产作者的计量分析[J].科技进步与对策,2011,28(05):1-5.
[6] 吕娜,全少颖.科研合作网络多数据源加权模型研究[J].情报理论与实践,2016,39(09):114-118.
[7] Abbasi A, Hossain L, Leydesdorff L .Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks[J]. Journal of Informetrics, 2012, 6(3):403-412.
[8] 谢丽斌,董颖,吴德志.基于Pajek的科研领域合作关系网络特征分析[J].图书馆,2016(07):62-65.
[9] 张艳蕾,董颖,任晓辉,于子清.科研合作关系网络数据源分布研究[J].图书馆杂志,2017,36(05):24-28+71.
[10] 邓志文,都平平,李新春.基于多数据源的机构知识可视化研究与应用[J].现代情报,2019,39(02):169-177.
[11] 刘蓓,袁毅,Boutin Eric.中国情报学论文地区合作网研究[J].情报学报,2008(9):133-136.
[1] LI Jie, WEI Ruibi. VOSviewer Application Status and Its Knowledge Base [J]. Journal of Library and Information Science in Agriculture, 2022, 34(6): 61-71.
[2] REN Ni, GUO Ting, SUN Yiwei, DAI Hongjun, ZHANG Chengcheng. An Analysis of Global Smart Agriculture Research Situation [J]. Journal of Library and Information Science in Agriculture, 2021, 33(9): 48-63.
[3] LI Jihong, CHEN Ninghui, XU Guizhen, JIANG Shan, WANG Hongjiang. A Visualization Analysis of Library, Information and Documentation Science from the Perspective of the National Social Science Fund Programs [J]. Journal of Library and Information Science in Agriculture, 2021, 33(5): 83-92.
[4] HU Yicheng. Analysis on Research Situation of Domestic and International Information Organization [J]. , 2018, 30(6): 29-34.
[5] FENG Yuanyuan. Research on Constructing Knowledge Map in Digital Libraries under Multi-domain Ontology Semantic Context [J]. , 2018, 30(2): 118-121.
[6] ZHAO Laijuan, CHEN Wei, ZHANG Ning. Visualized Analysis on Characteristic Database Research in China's University [J]. , 2018, 30(2): 110-113.
[7] Fu Rongxin, Li Xuanjing, Huang liuxin, Liang yu, Yuan Zhenli, Yang Xiaohua. A Visual Analysis on Research in Wetland Biodiversity Besed on CiteSpace [J]. Agricultural Library and Information, 2018, 30(12): 52-60.
[8] YAN Chunlai. Visual Analysis of Informization Research Subjects in Foreign University Libraries under the Background of Big Data [J]. , 2018, 30(11): 82-89.
[9] ZHENG Xinyan, HU Wenliang, XI Qingkui. Knowledge Mapping of Organic Fertilizer——Bibliometric Analysis Based on SCI and CiteSpace [J]. , 2018, 30(1): 94-98.
[10] MEI Zhenrong, LI Yang. Knowledge Mapping Analysis on Subject Service Research in China's Libraries Based on CiteSpaceⅡ [J]. , 2018, 30(1): 88-93.
[11] HUANG Li, YU Shouhua, OU Jingying. Knowledge Mapping of Researches on China's Rural E-commerce Based on Metrology Analysis with CiteSpace Ⅲ [J]. , 2018, 30(1): 77-83.
[12] AZIGULI Wusiman, ZULIHUMAER Aizize. Discussion on the Application of Knowledge Mapping in Library’s Reference and Subject Service [J]. , 2017, 29(8): 181-185.
[13] ZHENG Xinyan, SHAO Haiying. Literature Investigation on Earthworm Based on Web of Science [J]. , 2017, 29(8): 72-75.
[14] LIU Yanzhong, ZHENG Jiye, WANG Dongyu, ZHAO Wenxiang. Visual Analysis of Aquaculture Technology Research Based on CNKI [J]. , 2017, 29(12): 60-63.
[15] YANG Pingsheng, LUO Pengcheng. Visualization Analysis on Knowledge Map of Geotechnical Engineering Based on SCI [J]. , 2017, 29(10): 75-81.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!