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TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts

机译:TreePlus:具有增强树形布局的网络的交互式探索

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Despite extensive research, it is still difficult to produce effective interactive layouts for large graphs. Dense layout and occlusion make food Webs, ontologies and social networks difficult to understand and interact with. We propose a new interactive visual analytics component called TreePlus that is based on a tree-style layout. TreePlus reveals the missing graph structure with visualization and interaction while maintaining good readability. To support exploration of the local structure of the graph and gathering of information from the extensive reading of labels, we use a guiding metaphor of "plant a seed and watch it grow." It allows users to start with a node and expand the graph as needed, which complements the classic overview techniques that can be effective at (but often limited to) revealing clusters. We describe our design goals, describe the interface and report on a controlled user study with 28 participants comparing TreePlus with a traditional graph interface for six tasks. In general, the advantage of TreePlus over the traditional interface increased as the density of the displayed data increased. Participants also reported higher levels of confidence in their answers with TreePlus and most of them preferred TreePlus
机译:尽管进行了广泛的研究,但仍然难以为大型图形生成有效的交互式布局。密集的布局和遮挡使食物网,本体和社交网络难以理解和交互。我们提出了一个新的交互式可视化分析组件,称为TreePlus,它基于树形布局。 TreePlus通过可视化和交互显示丢失的图形结构,同时保持良好的可读性。为了支持对图形的局部结构的探索和从广泛阅读标签中收集信息的支持,我们使用了“播下种子并观察其生长”的指导隐喻。它允许用户从节点开始并根据需要扩展图,这是对可有效(但通常仅限于)显示集群有效的经典概述技术的补充。我们描述了我们的设计目标,描述了界面,并在28位参与者进行的受控用户研究中进行了报告,将TreePlus与传统图形界面进行了比较,完成了6个任务。通常,随着所显示数据密度的增加,TreePlus与传统界面相比的优势也随之增加。参与者还表示,他们对TreePlus的回答充满信心,其中大多数人更喜欢TreePlus

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