The influence of edge bundling on visual information search

Li, YN; Zhang, K; Hu, DN; Huang, ML

The influence of edge bundling on visual information search

Li, YN Zhang, K Hu, DN Huang, ML

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Publication Type:: Journal Article
Citation:: Information Sciences, 2019, 495 pp. 234 - 246
Issue Date:: 2019-08-01

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Field	Value	Language
dc.contributor.author	Li, YN	en_US
dc.contributor.author	Zhang, K	en_US
dc.contributor.author	Hu, DN	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.date.issued	2019-08-01	en_US
dc.identifier.citation	Information Sciences, 2019, 495 pp. 234 - 246	en_US
dc.identifier.issn	0020-0255	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133848
dc.description.abstract	© 2019 Elsevier Inc. Millions of nodes and edges in a node-link diagram representing the network structure of big data may clutter the space, reducing the aesthetic quality and hindering the process of information search. Edge bundling offers an approach to solve this problem. However, to what extent that edge bundling can solve the problem remains unclear. Addressing the literature in visual complexity and Gestalt law of prägnanz, we empirically examine the influence of edge bundling on users’ information search performance, i.e., the accuracy, responding time and perceptual fluency under different levels of bundling strength. The paper reports our findings with detailed discussions.	en_US
dc.relation.ispartof	Information Sciences	en_US
dc.relation.isbasedon	10.1016/j.ins.2019.05.007	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	The influence of edge bundling on visual information search	en_US
dc.type	Journal Article
utslib.citation.volume	495	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	495	en_US

Abstract:

© 2019 Elsevier Inc. Millions of nodes and edges in a node-link diagram representing the network structure of big data may clutter the space, reducing the aesthetic quality and hindering the process of information search. Edge bundling offers an approach to solve this problem. However, to what extent that edge bundling can solve the problem remains unclear. Addressing the literature in visual complexity and Gestalt law of prägnanz, we empirically examine the influence of edge bundling on users’ information search performance, i.e., the accuracy, responding time and perceptual fluency under different levels of bundling strength. The paper reports our findings with detailed discussions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/133848