摘要
科研机构在科学研究和技术创新过程中发挥着重要作用,对不同国家科研机构的研究领域进行分析有助于促进相互学习并提高合作的可能性。本文利用自组织映射(SOM)人工神经网络方法对87所中美图书馆学情报学(LIS)科研机构在技术维度的图书情报学领域研究进行可视化比较分析。研究发现,中美图情科研机构都与本国同行具有更相似的研究领域。根据其研究领域的相似性,共识别出八组国际潜在合作机构和七组国内潜在合作机构,最后分析了中美图情机构的热点与特色研究领域。该研究发现有助于更好地了解中美图情机构在技术维度的图书情报学研究领域的相似性与差异,为相关科研机构寻找潜在的合作对象,跟踪国外热点研究领域,发现自身研究的不足提供决策支持。
Research institutions play an important role in scientific research and technical innovation. The research field a- nalysis of research institutions in different coumries can facilitate mutual learning and promote potential collaboration. In this study, we employed Serf-organizing Map（SOM） technique, an artificial neural network to visually compare technical library and information science（LIS） research fields between 87 Chinese and American LIS research institutions. The findings revealed that both Chinese and American LIS institutions tended to have more similar technical LIS research fields to their domestic counter- parts than to those in the other country. Eight groups of potential international collaborators and seven groups of potential domes- tic collaborators were presented based upon their research similarities. The salient and distinguished feature research fields of Chinese and American LIS institutions were analyzed. The findings of this study lead to a better understanding of the similarities and differences among Chinese and American LIS institutions in terms of technical LIS research fields and provide decision sup- port for related institutions to seek potential collaborators, to keep up with foreign salient research fields, and to identify the re- search weaknesses of their own. l fig. 6 tabs. 42 rofs. 1 appendix.
出处
《中国图书馆学报》
CSSCI
北大核心
2014年第3期64-77,共14页
Journal of Library Science in China
基金
国家社会科学基金青年项目"科研组织的研究领域可视化挖掘研究"(编号:11CTQ025)的研究成果之一
关键词
图书情报学
自组织映射
研究领域
科研机构
Library and information science. Self-organizing Map. Research field. Research institutions.
