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国际知识管理研究的领域分析Ⅱ:学科领域分布的深度挖掘
引用本文:吕双.国际知识管理研究的领域分析Ⅱ:学科领域分布的深度挖掘[J].情报杂志,2012(3):118-123.
作者姓名:吕双
作者单位:北京大学信息管理系;山东财经大学工商管理学院
摘    要:基于构建的国际知识管理领域关键词共现网络,对其学科的分布状况进行了深度分析。对其国别分布结果发现,中国知识管理尽管研究文献数量居全球第二,但介数仅居第九,说明学科国际影响力不足。进一步引入国别隶属度和学科隶属度算法,对中国大陆、美、英及中国台湾的知识管理研究的优势领域进行了比较分析,以及经济管理、计算机和图书情报三门学科在知识管理领域的研究分布情况。

关 键 词:知识管理  共词网络  领域分析  介数  国别隶属度  学科隶属度

Field Analysis on International Knowledge Management Research Ⅱ: Deep Mining of Fields Distribution
LV Shuang.Field Analysis on International Knowledge Management Research Ⅱ: Deep Mining of Fields Distribution[J].Journal of Information,2012(3):118-123.
Authors:LV Shuang
Institution:LV Shuang (Information Management Department,Peking University,Beijing 100871; School of Business Administration,Shandong University of Finance and Economics,Jinan 250014)
Abstract:Based on the words co-occurrence network of international knowledge management research,the paper made an in-depth analysis on the distribution of knowledge management research.The results showed that,as to the distribution of author’s country,Chinese research literature number ranks second in the world,but the Betweenness of Chinese research only ranks ninth,indicating China’s lacking of international influence in this field.Based on this,the paper also introduced the algorithm of country attribution and disciplinary attribution to make a comparative analysis on advantages fields of knowledge management in China,USA,England and Taiwan district,as well as the field distribution of that in economics & management,computer science,and library & information science.
Keywords:knowledge management keywords co-occurrence network domain analysis Betweenness country attribution disciplinary attribution
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