," /> ,"/> 大型社交网络概貌的可视化技术比较：用户实验
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Vis Inf
Vis Inf  2020, Vol. 4 Issue (4): 23-34    DOI: 10.1016/j.visinf.2020.09.005
论文     
大型社交网络概貌的可视化技术比较：用户实验
Bruno Pinaud, Jason Vallet, Guy Melançon
University of Bordeaux, CNRS UMR 5800 LaBRI, France
On visualization techniques comparison for large social networks overview: A user experiment
Bruno Pinaud, Jason Vallet, Guy Melan?on
University of Bordeaux, CNRS UMR 5800 LaBRI, France
 全文: PDF 
摘要： 社交网络的可视化，尤其是对能揭示网络结构（社区）及其相互联系的网络概貌可视化，一直被认为是一个挑战性问题。本文提出了构建社交网络概貌可视化的一套设计原理，我们的解决方案是JASPER。我们在一个基于社区相关任务的人机控制实验中，评估了应用最为广泛的两种可视化技术(矩阵和节点链接图)的性能。虽然没有一种技术占有压倒性的优势，但JASPER显然是处理每项任务的最佳方法之一。用户给出的评分证实了这一点。总的来说，JASPER可以在一台现代计算机上快速生成清晰、紧凑的大型社交网络概貌，可视为一种全能的解决方案。

关键词： 概貌可视化;  用户评估;  图和网络;  ')" href="#">社交网络     
Abstract: Visualizing social networks, especially an overview emphasizing their structure, i.e., communities and their interconnections, is known to be a challenging problem. In this paper, we present a set of design rationales to build such overview visualizations of social networks and our solution called Jasper. We evaluate its performances against two of the most wide-spread visualization techniques (matrix and node-link diagram) in a human–computer controlled experiment based on community-related tasks. While none of the techniques emerge as the overwhelming winner, Jasper appears to be one of the best methods for each task; a fact sustained by the marks given by the users. Overall, Jasper can be seen as an all-encompassing solution for quickly producing legible and compact overviews of large social networks on a single modern computer.
Key words: Overview visualization    User evaluation    Graphs and networks    Social networks
出版日期: 2020-12-01
通讯作者: Bruno Pinau, Jason Vallet, Guy Melançon     E-mail: bruno.pinaud@u-bordeaux.fr
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引用本文:

Bruno Pinaud, Jason Vallet, Guy Melançon. On visualization techniques comparison for large social networks overview: A user experiment . Vis Inf, 2020, 4(4): 23-34.

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http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2020.09.005    或    http://www.zjujournals.com/vi/CN/Y2020/V4/I4/23

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