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A framework for visual analytics of massive complex networks
conference contribution
posted on 2023-05-23, 17:43 authored by Hong, S-H, Huang, W, Misue, K, Quan, WIn 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.
History
Publication title
Proceedings of International Conference on Big Data and Smart Computing (BIGCOMP), 2014Editors
IEEEPagination
22 - 28ISBN
978-1-4799-3919-0Department/School
School of Information and Communication TechnologyPublisher
IEEEPlace of publication
USAEvent title
International Conference on Big Data and Smart Computing (BIGCOMP), 2014Event Venue
Bangkok, ThailandDate of Event (Start Date)
2014-01-15Date of Event (End Date)
2014-01-17Repository Status
- Restricted