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Vis Inf
Vis Inf  2018, Vol. 2 Issue (4): 264-282    DOI: 10.1016/j.visinf.2018.12.006
论文     
探索复杂性的极限:图可视化实例研究综述
Vahan Yoghourdjiana, Daniel Archambaultb, Stephan Diehlc, Tim Dwyera, Karsten Kleind, Helen C.Purchasee, Hsiang-Yun Wuf
aMonash University, Australia
bSwansea University, United Kingdom
cUniversity of Trier, Germany
dUniversity of Konstanz, Germany
eUniversity of Glasgow, United Kingdom
fUniversity of TU Wien, Austria
Exploring the limits of complexity: A survey of empirical studies on graph visualisation
Vahan Yoghourdjiana, Daniel Archambaultb, Stephan Diehlc, Tim Dwyera, Karsten Kleind, Helen C.Purchasee, Hsiang-Yun Wuf
aMonash University, Australia
bSwansea University, United Kingdom
cUniversity of Trier, Germany
dUniversity of Konstanz, Germany
eUniversity of Glasgow, United Kingdom
fUniversity of TU Wien, Austria
 全文: PDF 
摘要： 多年来，信息可视化和图绘制领域的研究人员一直致力于开发庞大复杂网络的布局设计和显示技术。通过参与实验的人来分析不同的网络布局风格和表现形式的可读性。在相关文献中，所有网络经常被描述为“大”或“复杂”，然而“大”或“复杂”是相对的。由于该类实验以人为中心，所谓“大”或“复杂”取决于多个因素，如数据复杂性、视觉复杂性以及所采用的技术。在本文中，我们综述了以人为中心的有关实验的文献，以理解在实践中，结点-链接图的不同特征和特性是如何影响视觉复杂性的。
关键词： 图可视化;  网络可视化;  结点链接图;  认知可扩展性;  评价;  实例研究    
Abstract: For decades, researchers in information visualisation and graph drawing have focused on developing techniques for the layout and display of very large and complex networks. Experiments involving human participants have also explored the readability of different styles of layout and representations for such networks. In both bodies of literature, networks are frequently referred to as being ‘large’ or ‘complex’, yet these terms are relative. From a human-centred, experiment point-of-view, what constitutes ‘large’ (for example) depends on several factors, such as data complexity, visual complexity, and the technology used. In this paper, we survey the literature on human-centred experiments to understand how, in practice, different features and characteristics of node-link diagrams affect visual complexity.
Key words: Graph visualisation    Network visualisation    Node-link diagrams    Cognitive scalability    Evaluations    Empirical studies
出版日期: 2019-01-08
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Vahan Yoghourdjian
Daniel Archambault
Stephan Diehl
Tim Dwyer
Karsten Klein
Helen C.Purchase
Hsiang-Yun Wu

引用本文:

Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C.Purchase, Hsiang-Yun Wu. Exploring the limits of complexity: A survey of empirical studies on graph visualisation . Vis Inf, 2018, 2(4): 264-282.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2018.12.006    或    http://www.zjujournals.com/vi/CN/Y2018/V2/I4/264

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