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A framework for visual analytics of massive complex networks


Hong, S-H and Huang, W and Misue, K and Quan, W, A framework for visual analytics of massive complex networks, Proceedings of International Conference on Big Data and Smart Computing (BIGCOMP), 2014, 15-17 January 2014, Bangkok, Thailand, pp. 22 - 28. ISBN 978-1-4799-3919-0 (2014) [Non Refereed Conference Paper]

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DOI: doi:10.1109/BIGCOMP.2014.6741399


In this paper, we present a framework for visual analytics of massive complex networks. Our framework is based on the tight integration of network analysis methods with visualization methods to address the scalability and complexity. We present case studies using various networks derived from the WoS (Web of Science). More specifically, we integrated cocitation analysis of Social Network community with 2.5D visualization methods to provide insight and overview on temporal dynamics. Furthermore, we derived collaboration networks and citation networks of Graph Drawing community and visualized using Anchored map techniques to understand collaboration patterns between important researchers in the community.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:Visual Analytics, Web of Science, Graph Drawing, Social Networks
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Huang, W (Dr Tony Huang)
ID Code:90193
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2014-03-27
Last Modified:2014-04-04
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