摘要
[目的/意义]我国地域辽阔、高校众多,了解不同高校之间的科学合作现状,对于推进"2011计划"有着重要意义。以SCI和SSCI数据库中的全体数据作为数据来源,针对传统科学计量学方法和现有软件无法处理海量数据的问题,开发出全新的数据处理方法,用于实现对不同机构之间的论文合作分析。[方法/过程]以我国111所"211"高校作为研究对象,对主要研究型大学之间以SCI和SSCI论文为代表的高水平论文合作情况进行定量研究,计算各高校在论文合作网络中的中介中心性并排序,进而绘制合作网络图谱。[结果/结论]我国高校科研论文合作的现状与全貌是科研实力较强的"985"综合性高校排序靠前,而学科专业性较强、地理位置偏僻的高校排序靠后;我国目前的大学科学论文合作整体存在以地理聚类为主、学科聚类为辅的合作关系特征。这一特征为科研管理和教育管理工作提供了启示,即:既要发挥"985"高校的领军作用,也要发挥区域中优势高校的增长极作用,在"2011计划"的学科框架下实现广泛交流。
[ Purpose/significance ] There are vast territories and numerous universities in China. It has important sig- nificance to understand the scientific cooperation among universities to promote the ＂2011 project＂. Based on all the data of SCI and SSCI database, this paper develops a new method of process data to solve the problem that in the traditional scientific metrology and the existing software can＇ t deal with the huge amounts of data. This method is used to analyze the cooperation among different institutions. [ Method/process ] Taking all the ＂211＂ universities as the research object, this paper calculates, ranks and maps the cooperation network by quantitative research of SCI and SSCI high level papers col- laboration of these universities. [ Result/condusion] By using social network analysis to analyze the position of universi- ties in the thesis cooperation network from the macroscopic angle, this paper summarizes the present situation of the major universities in China： the ＂985＂ comprehensive universities have strong research capabilities rank higher while the remote universities which has strong disciplines rank lower; geographical proximity is the main elements, while disciplinary prox- imity secondary in the universities＇ collaboration. The characteristic provide the revelation to scientific and education management： ＂985＂universities should play the leading role while the universities which have the regional advantage play the growth pole role; communicate widely under the ＂2011 project＂ framework of discipline.
出处
《图书情报工作》
CSSCI
北大核心
2015年第2期82-88,共7页
Library and Information Service
基金
2011年度全国教育科学规划教育部青年项目“基于知识图谱的国际高等教育研究前沿及其演进分析”(项目编号:EIA110369)研究成果之一
