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Visualizing explicit and implicit relations of complex information spaces

机译：可视化复杂信息空间的显式和隐式关系

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In this work, we describe how Edge Maps provide a new method for integrating the visualization of explicit and implicit data relations. Explicit relations are specific connections between entities already present in a given data set, while implicit relations are derived from multidimensional data based on similarity measures. Many data sets include both types of relations, which are often difficult to represent together in information visualizations. Node-link diagrams typically focus on explicit data connections while not incorporating implicit similarities between entities. Multidimensional scaling considers similarities between items; however, explicit links between nodes are not displayed. In contrast, EdgeMaps visualize both explicit and implicit relations by combining graph drawing and spatialization techniques. We have applied this technique to three case studies (philosophers, painters, and musicians) and explored how integrated visualizations of explicit and implicit relations reveal novel patterns and relationships.
机译：在这项工作中，我们描述了Edge Maps如何提供一种新方法来集成显式和隐式数据关系的可视化。显式关系是给定数据集中已经存在的实体之间的特定连接，而隐式关系是基于相似性度量从多维数据中得出的。许多数据集都包含两种类型的关系，这通常很难在信息可视化中一起表示。节点链接图通常专注于显式数据连接，而没有在实体之间合并隐式相似性。多维缩放考虑项目之间的相似性；但是，不显示节点之间的显式链接。相反，EdgeMaps通过将图形绘制和空间化技术相结合来可视化显式和隐式关系。我们已将此技术应用于三个案例研究（哲学家，画家和音乐家），并探索了显式和隐式关系的集成可视化如何显示新颖的模式和关系。

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