iSchools联盟学院URL共引用网络链接分析

Link Analysis of URL Co-citation Network between ISchools

以加入iSchools的38个信息学院为研究对象，借助微软必应（Bing）搜索引擎与LexiuRL软件获取这些成员单位之间的URL共引用次数，利用Ueinet和SPSS进行可视化、系统聚类和多维尺度分析，探讨了iSchools联盟学院之间网络链接关系。结果显示URL的共引用关系能够反映机构之间的关联性，iSchools联盟学院之间的关联性受地域、语言、学术影响力以及研究主题等多种因素的影响；美国的信息学院间联系比较紧密，在整个网络中处于核心地位；网站内容的丰富程度、网页语言、域名的命名和更替在一定程度上影响机构在网络上的传播和交流。

Taking the iSchools members as the research object, the paper collected the URL co-citation data of 38 information schools from Bing and LexiURL firstly, then used hierarchical cluster, multidimensional scaling by Ucinet and SPSS to visualize and explore the link network between iSchools members. The results showed that the URL co-citations can reflect the correlation of organizations, and the correlation can be affected by a variety of factors such as geography, language, academic influence, and research topics; U.S. institutes play a core role in the whole iSchools network, and the relations among them are relatively much closer than others; To some extent, the richness of the site＇ s content, web language, domain naming and shifting can affect the spread and communication of institutions on the network.