摘要
本文研究学术机构引证网络中的中介关系,识别和分析以中间人作为纽带的中介路径以及中介模式。选取信息计量领域机构数据,依据P(Top 10%)指数将学术机构划分为"强""中""弱"三个学术实力等级,结合中间人中介关系分析,得出三条主要知识交流路径,按照显著程度,依次为"中→弱""弱→弱"和"强→弱"。中介模式方面,"强"等级中间人机构发挥主导中介作用。显著路径末端的机构与对应的始端机构具有潜在的知识交流需求,双方可在重合的研究主题和研究方向上推进交流合作。图6。表8。参考文献26。
Current studies on knowledge exchange between academic institutions within citation networks are insufficient. It remains even more unclear that how academic institutions play an intermediary role in the process of knowledge exchange based on citation relations. This paper constructs institution citation networks based on direct relations between academic institution nodes, in order to investigate the intermediary relationships carried by academic institution citation behaviors. Issues of intermediary paths and patterns have been addressed while academic institutions play a brokerage role during the process of knowledge exchange.The field of informetricsis selected as the research area to construct the institution citation network. The intermediary relations connected by institution brokerage roles have been extracted. The potential regular paths and brokerage patterns have been recognized. The idea of institution partition has been introduced.Significant path mining has been conducted, which contributes to further knowledge discovery.Data is processed by Python programming. The method of intermediary relation extraction is to obtain triads connected by non-redundant relations. First of all, it identifies institution nodes that accord with the characteristics of brokerage roles. Then it obtains all of the paths and institution nodes that have been linked up by broker institutions. ＂ Brokerage score＂ is used to measure institution intermediary perform-ance. The thought of institution partition has been introduced to conduct path and pattern analysis. Institutions are classified into three levels, ＂ strong＂, ＂ medium＂ and ＂ weak＂, according to the value of P（ Top10%） of each institution. Each knowledge exchange path between a pair of institutions corresponds to one kind of knowledge exchange pattern between different levels of institutions.Through intermediary path analysis, we found that broker institutions generally transfer knowledge to institutions of the ＂weak＂ level, and institutions of the ＂ medium＂ level depend more on broker institutions to complete knowledge export. Three major knowledge exchange paths are identified, among which the ＂medium→weak＂ path is the most significant, and then ＂ weak→ weak＂, and the third is the ＂ strong→ weak＂path. Through intermediary pattern analysis, we found that broker institutions of the ＂strong＂ level play the major role, both from the perspective of a single institution and from the perspective of a group of brokers.Comparison within each level of the broker groups indicates that the group of the ＂strong＂ and ＂weak＂ level tends to intermediate with path ＂medium→weak＂ and ＂weak→weak＂, and the group of the ＂medium＂ level tends to intermediate with path ＂medium→weak＂ and ＂strong→weak＂.Among all of the paths that have been connected by the broker institutions, seven significant paths have been distinguished. Institutions at the end of the knowledge flow have a potential desire for knowledge exchange with the institutions at the start of the path. It has been suggested that institutions at the end of the flow could strengthen academic communication with institutions at the start of the flow, and collaboration could be promoted on similar research areas and directions. 6 figs. 8 tabs. 26 refs.
出处
《中国图书馆学报》
CSSCI
北大核心
2016年第2期52-65,共14页
Journal of Library Science in China
基金
国家自然科学基金面上项目"知识网络的形成机制及演化规律研究"(编号:71173249)的研究成果之一~~
关键词
机构引证
中间人
中介关系
路径分析
模式分析
Institution citation
Brokerage roles
Intermediary relationship
Path analysis
Pattern analysis
