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Title: Structures and dynamics of scientific knowledge networks: An empirical analysis based on a co-word network
Author: WANG Xiaoguang ; JIANG Tingting ; LI Xiaoyu
Source: Chinese Journal of Library and Information Science
Issued Date: 2010-10-25
Volume: 3, Issue:3, Pages:19-36
Keyword: Knowledge network ; Co-word network ; Complex network ; Visualization ; Dynamics ; Small-world ; Scale-free
Subject: 编辑出版
Corresponding Author: Wang Xiaoguang (E-mail: wxguang@whu.edu.cn)
English Abstract:

Co-word networks are constructed with author-provided keywords in academic publications and their relations of co-occurrence. As special form of scientific knowledge networks, they represent the cognitive structure of scientific literature. This paper analyzes the complex structure of a co-word network based on 8,190 author-provided keywords extracted from 3,651 papers in five Chinese core journals in the field of management science. Small-world and scale-free phenomena are found in this network. A large-scale co-word network graph, which consists of one major giant component and many small isolated components, has been generated with the GUESS software. The dynamic growth of keywords and keyword co-occurrence relationships are described with four new informetrics measures. The results indicate that existing concepts always serve as the intellectual base of new ideas as represented by keywords.

Related URLs: 查看原文
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/5371
Appears in Collections:Chinese Journal of Library and Information Science-2010_期刊论文

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Recommended Citation:
WANG Xiaoguang,JIANG Tingting,LI Xiaoyu. Structures and dynamics of scientific knowledge networks: An empirical analysis based on a co-word network[J]. Chinese Journal of Library and Information Science,2010,3(3):19-36.
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