文档介绍：2010 年 10 月
第 30 卷第 10 期
现代情报
Journal of Modern Information
Oct , 2010
Vol 30 No 10
理论探索
社会网络分析视角下的我国竞争情报研究进展分析
1
2
( 1. 中国矿业大学图书馆, 江苏徐州 221116; 2. 武汉大学信息管理学院, 湖北武汉 430072)
摘要! 运用社会网络分析软件, 对竞争情报主题的2 305篇论文进行统计分析。发现相关文献增长符合普赖斯定律, 同
时竞争情报研究受政治、经济影响较大; 对论文高频作者进行社会网络分析发现作者之间的合作程度具有较大的差异, 年长且
发文频次越高的作者越容易建立自己的合作关系网和研究团队; 对高频关键词进行聚类和共现分析发现, 我国的竞争情报研究
活动可以在总体上划分为 4 个特征区域。
关键词! 竞争情报; 社会网络分析; 聚类分析
DOI: 10. 3969/ j. issn. 1008- 0821. 2010. 10. 005
中图分类号! G35
文献标识码! A
文章编号! 1008- 0821 ( 2010) 10- 0018- 05
petitive Intelligence Research Progress
Study from the Perspective of work Analysis
Zhu Hongyan1
Song Yanhui2
( 1. Library, China Mining University, Xuzhou 221116, China;
2. Inst itute of Informat ion Management, Wuhan University, Wuhan 430072, China)
Abstract! Using work analysis software, it analyzed 2305 papers in the field petitive intelligence. It found
the related literature with general laws of rice growth, and it was influenced greatly by political and economic. work
analysis high- frequency papers, it was found that the degree of cooperation between the authors was in great difference. Older
and higher frequency authors were easier to build their own cooperative relationships and research teams. Through high frequency
keywords cluster analysis, it was found that petitive intelligence research activities in general could be divided into
fo