摘要
由论文的关键词及其共现关系构成的共词网络是一类特殊的科学知识网络，代表了科学认知结构。本文利用中国管理科学领域的5种核心期刊的关键词数据研究了共词网络的复杂结构。统计表明共词网络内存在明显的小世界和无标度现象。借助复杂网络绘图软件GUESS，本文绘制了大规模共词网络的拓扑结构图，发现该网络由一个大型的主连通区块和很多孤立的小连通区块组成。借助四个新的信息计量学指标，本文还统计分析了关键词及其共现关系的增长规律，首次从关键词使用的角度定量地证明了科学发展具有创新性和递进性，已有的科学概念是新科学命题产生的知识基础。
Co-word network constructed by author keywords and their co-occurrence relationships is a type of special science knowledge network, which represents the cognitive structure of science in scientific literature. This paper analyzes the complex structure of co-word network formed with author keywords from five core journals in management field in China. The small-world and scale-free phenomena are found in the co-word network. A large scale topological graph of the co-word network is also mapped by GUESS, which is consisted of a giant connected component and many small isolated components. With four new informetrics indexes, this paper also analyzes the increasing dynamics of the keywords and their co-occurrence relationships. For the first time, the results quantitatively prove that the development of science is mainly in the form of gradualness and the existed concepts are always the intellectual base for emergence of new science ideas in terms of the use of keywords.
出处
《情报学报》
CSSCI
北大核心
2010年第2期314-322,共9页
Journal of the China Society for Scientific and Technical Information
关键词
知识网络
共词网络
复杂网络
可视化
动力学
小世界现象
无标度现象
knowledge network, co-word network, complex network, visualization, dynamics, small-world, scale-free
作者简介
王晓光，男，1978年生，副教授，研究方向：社会网络与知识管理，用户网络行为分析，数字出版。E—mail：whu_wxg@126．com
