Applying Data-driven Visualization with Seven-Step Process for Academic Research

Chia-Chi Shih, T. Chang, Y. Fang, Shih-Ting Tsai
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Abstract

Recently, the related research on data visualization design has been increasing, and it can be seen that the visualization of the WoCAD (Web of CAADRIA) network is becoming more and more important. Based on the works published at the CAADRIA conference from 2006 to 2015, this study collects data on authors and papers from all the works published in the past ten years then explores the seven-steps strategy model through data visualization experiments and implementations. Expect to see whether there are hidden messages, previously inconspicuous messages, relationships, and contexts among the three data items among the data and data of authors, papers, and keywords. The research was found that in steps 4~6, it will continue to iterate, and various nodes make their connections dense, to determine that the more the three nodes are connected, the closer to the center of the circle, and the second most related nodes are connected to the surrounding area.
在学术研究中应用数据驱动可视化七步流程
近年来,对数据可视化设计的相关研究越来越多,可以看出,WoCAD (Web of CAADRIA)网络的可视化变得越来越重要。本研究以2006年至2015年CAADRIA会议上发表的论文为基础,收集近十年来发表的所有论文的作者和论文数据,通过数据可视化实验和实现对七步策略模型进行探索。期望看到在作者、论文和关键字的数据和数据之间的三个数据项之间是否存在隐藏的消息、以前不明显的消息、关系和上下文。研究发现,在步骤4~6中,它会继续迭代,各个节点使它们的连接更加密集,以确定三个节点连接得越多,越靠近圆心,关联度第二高的节点连接到周围区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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