The State of the Art in Visualizing Multivariate Networks
The State of the Art in Visualizing Multivariate Networks
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DOI：
10.1111/cgf.13728
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发表时间：
2019-05
影响因子：
2.5
通讯作者：
C. Nobre;Miriah D. Meyer;M. Streit;A. Lex
中科院分区：
文献类型：
--
作者：
C. Nobre;Miriah D. Meyer;M. Streit;A. Lex
多元网络由节点及其关系（链接）组成，但也包括关于这些节点和链接的数据作为属性。大多数真实的世界网络都与多个属性相关联，许多分析任务都依赖于分析关系和属性。然而，多变量网络的可视化是具有挑战性的，特别是当网络的拓扑结构和属性需要同时考虑时。在这份最先进的报告中，我们分析了当前的实践，并沿着沿着四个轴对技术进行了分类：布局，视图操作，布局操作和数据操作。我们还提供了对多变量网络特定任务的分析，并给出了在哪种情况下使用哪种技术的建议。最后，我们调查的应用领域和评估方法。
Multivariate networks are made up of nodes and their relationships (links), but also data about those nodes and links as attributes. Most real‐world networks are associated with several attributes, and many analysis tasks depend on analyzing both, relationships and attributes. Visualization of multivariate networks, however, is challenging, especially when both the topology of the network and the attributes need to be considered concurrently. In this state‐of‐the‐art report, we analyze current practices and classify techniques along four axes: layouts, view operations, layout operations, and data operations. We also provide an analysis of tasks specific to multivariate networks and give recommendations for which technique to use in which scenario. Finally, we survey application areas and evaluation methodologies.