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Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (4): 42-50.doi: 10.13998/j.cnki.issn1002-1248.2019.12.24-1129

• Research paper • Previous Articles     Next Articles

Social Network Analysis of Research Collaborations between Departments—— Taking Tsinghua University as an Example

GUAN Cuizhong, FAN Aihong, ZHAO Chenggang   

  1. Tsinghua University Library, Beijing 100084
  • Received:2019-12-24 Online:2020-04-05 Published:2020-04-28

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Abstract: [Purpose / Significance] Under the background of global interdisciplinary cooperation, the scientific research cooperation between departments was very close in a comprehensive university with complete disciplines. This paper studies the scientific research cooperation between departments in Tsinghua University in order to provide reference for organizational structure and discipline planning of the Chinese universities. [Method / Process] By using the method of social network analysis, this paper firstly focuses on the cooperation between departments in Tsinghua University. Then graphics of the interdisciplinary cooperation network between departments are shown. Finally, subject attributes and characteristics indexes of these cooperation papers are analyzed. [Results / Conclusions] The study finds that there are 12.02% cooperation papers between departments in Tsinghua University and the proportion of these papers shows an upward trend. The departments with similar disciplines are more likely to have cooperative relations, forming a large cluster of departments' cooperation. Interdisciplinary cooperation between departments helps new disciplines or departments grow rapidly.

Key words: social network analysis, interdisciplinary, research cooperation, comprehensive universities

CLC Number: 

  • G353.1
[1] 吉亚力,田文静,董颖.基于关键词共现和社会网络分析法的我国智库热点主题研究[J].情报科学,2015,33(03):108-111.
[2] 牟冬梅,郑晓月,王萍,赵丹宁,李茵.社会网络分析在学科知识结构研究上的方法思辨[J].情报理论与实践,2016,39(08):22-27.
[3] 车尧,李雪梦,璐羽.社会网络视角下战略性新兴产业的专利情报研究[J].情报科学,2015,33(07):138-144.
[4] Wasserman S, Faust K.Social Network Analysis: Methods and Application[M]. New York: Cambridge University Press,1994:5-11.
[5] 张克群,魏晓辉,郝娟,等.基于社会网络分析方法的专利价值影响因素研究[J].科学学与科学技术管理,2016,37(05):67-74.
[6] 魏瑞斌. 社会网络分析在关键词网络分析中的实证研究[J].情报杂志,2009,28(09):46-49.
[7] 尤政.建设世界一流工科引领工程教育发展[J].清华大学教育研究,2019,40(03):1-7+20.
[8] 郑文涛. “双一流”背景下的高校交叉学科建设研究[J].首都师范大学学报(社会科学版),2018(01):160-166.
[9] 中华人民共和国中央人民政府, 北京加强全国科技创新中心建设总体方案:国发〔2016〕52号[A/OL]. [2020-01-17].http://www.gov.cn/zhengce/content/2016-09/18/content_5109049.htm.
[10] 王璐,马峥,潘云涛.基于论文产出的学科交叉测度方法[J].情报科学,2019,37(04):17-21.
[11] 雷环,钟周,乔伟峰.“双一流”建设背景下中美研究型大学“学科”发展模式比较研究[J].清华大学教育研究,2018,39(06):66-73.
[12] 吴朝晖.努力构建以立德树人、全面发展为导向的人才培养体系[J].中国高教研究,2019(03):1-6+29.
[13] 翟通,李文兰.基于ESI高被引论文的国际合作研究[J].情报探索,2018(11):29-35.
[14] 王璇,沈思.基于文献计量学的中国ESI高被引论文国际合作特征研究[J].技术与创新管理,2019,40(04):476-481.
[15] 涂静,李永周,张文萍.国际合作网络结构与高被引论文产出的关系研究[J].图书馆杂志,2019,38(07):69-75.
[16] 熊师,杨祖国,李立.中国在工程学研究前沿的国际合作状况分析[J].高等工程教育研究,2018(06):174-181.
[17] 刘睿远. 环境科学国际合作态势比较研究[J].创新科技,2017(07):23-26.
[18] 丁然,于浩,王俊文,等.基于科学引文索引的2008—2017年中医药论文发表及国际合作团队分析[J].中医杂志,2018,59(09):790-794.
[19] 杨红英. 基于社会网络分析的我国体育机构合作研究[J].北京体育大学学报,2016,39(09):31-37.
[20] 周静梅,黄颖,孔小梅等.我国图书情报学领域机构合作网络分析[J].情报工程,2017,3(06):103-115.
[21] 温芳芳. 基于专利文献计量的我国校企科研合作现状分析[J].情报杂志,2014,33(12):71-76.
[22] 万文涛,周丽华.科研团队的生成条件探究[J].中国高教研究,2006(11):42-45.
[23] 丁帆,彭营营,甄树宁,等.清华大学校级科研机构的基本形式[J].中国高校科技,2017(11):19-22.
[24] 管翠中,范爱红,曾晓牧.学科评估中院系设置与学科交叉的矛盾与对策——以清华大学土木工程学科为例[J].大学图书馆学报,2019,37(06):85-88.
[25] 任初明. 跨越院系与学科障碍,促进科研项目合作——基于H大学C项目的案例研究[J].教育与教学研究,2012,26(07):72-76.
[26] 牛力.近年来美国大学推进学科交叉的举措及其启示[J].煤炭高等教育,2009,27(01):67-69+90.
[27] VOSviewer: Visualizing Scientific Landscapes[EB/OL].[2019-05-05].http://www.vosviewer.com/.
[28] Waltman van Eck NJ, Noyons ECM. A unified approach tomapping and clustering of bibliometric networks[J].Journal of Informetrics,2010,4(4):629-635.
[29] 付健,丁敬达.Citespace和VOSviewer软件的可视化原理比较[J].农业图书情报,2019,31(10):31-37.
[30] 李杰. 科学知识图谱原理及应用[M].北京:高等教育出版社,2018.
[31] 管翠中,范爱红,贺维平,等.学术机构入围ESI前1%学科时间的曲线拟合预测方法研究——以清华大学为例[J].图书情报工作,2016,60(22):88-93.
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