利用自组织映射(SOM)人工神经网络方法分析60种有代表性的国外图书情报类期刊的热点主题及Journal of Information Science(JIS)从1981-2007年的主题发展趋势。利用改进的SOM输出方式——属性叠加矩阵,识别出60种期刊的7类热点主题,并构造一种新的SOM显示方式“热点属性投影”, 结合常见的U-matrix图,分析JIS期刊的热点主题在过去27年间的发展过程与规律。其研究结果在一定程度上可以反映国外图书情报类期刊主题的发展规律。该研究方法为期刊热点主题识别及发展趋势研究提供较为完整的工具与思路。
This paper utilizes the Self-Organizing Map(SOM) to analyze the salient subjects among 60 foreign journals in the field of Library and Information Science (LIS) and the development trends of Journal of Information Science (JIS) from 1981 to 2007. An enhanced SOM display method named Attribute Accumulative Matrix is employed to identify 7 groups of salient subjects among the 60 investigated journals. A novel SOM display method named Prevalent Attribute Projection is constructed combined with U-matrix, to analyze the development process and patterns of JIS’ salient subjects in the past 27 years. The research findings reflect the development laws of foreign LIS journals to some extent,and the research methods can provide systematic tool and procedure for the analysis of salient subjects and their development trends among journals.
安璐, 李纲. 国外图书情报类期刊热点主题及发展趋势研究[J]. 现代图书情报技术, 2010, 26(9): 48-55.
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