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以管理学部认定的30种重要期刊1980—2008年互引数据为研究样本,运用社会网络分析工具UCINET探讨了重要期刊互引网络的整体结构及中心性特征。模块化研究结果显示:重要期刊可划分为科学研究类子群、经济类子群、管理科学类子群和交叉学科类子群,子群内的期刊与中国期刊网的划分具有高度相似性;科学研究类子群较多地引用其他子群期刊,交叉科学类子群较多地引用管理科学类子群期刊;管理科学类子群、科学研究类子群、经济类子群和交叉学科类子群内部期刊收录文章主题的相似性从高到低。
Using the data of 30 important periodicals approved by the Department of Management from 1980 to 2008 as the research sample, this paper uses the social network analysis tool UCINET to explore the overall structure and central characteristics of the inter-cited periodicals of important journals. The results of the modular research show that the important journals can be divided into scientific research subgroups, economic subgroups, management science subgroups and interdisciplinary subgroups. The subgroups have a high degree of similarity with the periodical networks in China. Sub-groups of scientific research refer more to other sub-groups of periodicals, while sub-groups of interdisciplinary sciences refer more to sub-groups of management science; sub-groups of management science, sub-groups of scientific research, sub-groups of economy and interdisciplinary Sub-group internal journals included the theme of the similarity of articles from high to low.