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首页> 外文期刊>The Journal of Documentation >Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports
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Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports

机译:基于期刊引文报告中的双向图的科学期刊的簇和图

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摘要

The aggregated journal-journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph-analytical algorithm of bi-connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next-order network of "general science" journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.
机译:可以使用双向连接的图分析算法将源于Journal Citation Reports 2001的汇总期刊期刊引用矩阵分解为唯一的主题分类。这项技术最近被纳入用于社交网络分析的软件工具中。可以使用指示各组分之间重叠的铰接点就其可分解性评估基质。该集合的连接点未展示“普通科学”期刊的下一个网络。但是,簇的大小和关系的内部密度不同。附录中提供了期刊的完整分类。集群也可以被提取和映射以进行可视化。

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