基于预定义聚类的用户绘制聚类图布局研究

Chun-Cheng Lin, Weidong Huang, Wan-Yu Liu, Shierly Tanizar
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引用次数: 0

摘要

对已知聚类信息的聚类图用户草图布局的美学进行了实证分析。在我们的实验中,给定聚类图的邻接表及其预定义的聚类信息,每个参与者被要求在平板电脑系统上使用手写笔从头开始手动绘制“漂亮”的聚类图。这项工作不同于以往工作的主要特征是研究用户是否可以通过提供聚类分区信息来“很好”地绘制聚类图的复杂任务。结果表明,大多数参与者都能画出桥边清晰、聚类内聚性强的图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Clustered Graph Layouts Sketched by Users Based on Predefined Clusters
The aesthetics for user-sketched layouts of clustered graphs with known clustering information is analyzed empirically. In our experiments, given the adjacency list of a clustered graph and its predefined clustering information, each participant was asked to manually sketch clustered graphs "nicely" from scratch on a tablet system using a stylus. The main feature of this work different from the previous work is to investigate if the user's complex task of sketching clustered graphs "nicely" can be alleviated by providing the cluster partition information. Results show that most participants can draw graphs with clear presence of bridge edges and clustering cohesiveness.
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