中文摘要：

以国家自然科学基金委管理学部2006年认定的三十种重要期刊为研究对象，采用社会网络分析工具对这些期刊在1980～2008年间形成的互引网络进行分析。结果表明，重要期刊群聚集成科学与科学研究、经济综合、管理科学及交叉学科四个模块，根据三大中文期刊数据库的学科导航，此聚类具有较高的合理性。管理科学模块和经济综合模块较多地对重要期刊群输出知识，科学与科学研究模块更多地从重要期刊群中吸收知识，而交叉学科模块更多地继承和拓展管理科学模块的研究内容和方法。根据各刊在所属模块中的相对地位及知识吸收能力和贡献程度，从知识传播速度和被引机会角度，提出不同领域的研究成果选择期刊的策略。

英文摘要：

Using social network analysis method, the cross-citation network of 30 periodicals is investigated, and these periodicals are recognized as important periodicals by Department of Management Sciences. The structural equivalence and centrality analysis indicates that the important periodicals are clustered into four categories science of sciences, economics, management science, and interdiscipline. The clustering is reasonable compared with the subject navigation of the three electronic periodical databases in China. Results show that the management science cluster and interdiscipline cluster play a role of knowledge source in the periodicals, the science of sciences cluster is likely to derive knowledge from the other clusters, and the articles published by interdiscipline category tend to refer to the management science cluster. Publication strategies for studies of different areas are proposed based on the periodical＇s capacity to absorb and offer knowledge and the periodical＇s position in the cluster. The strategies would increase the citation of a study and make it well known quickly.