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Issue No. 01 - Jan.-Feb. (2013 vol. 33)
ISSN: 0272-1716
pp: 58-68
Xianlin Hu , Univ. of North Carolina at Charlotte, Charlotte, NC, USA
Aidong Lu , Univ. of North Carolina at Charlotte, Charlotte, NC, USA
Xintao Wu , Univ. of North Carolina at Charlotte, Charlotte, NC, USA
ABSTRACT
Network visualization techniques have been widely used to explore social networks, which are crucial to many application domains. A proposed visual-analytics approach provides functions that were previously hard to obtain. Based on recent achievements in spectrum-based analysis, it uses the features of node distribution and coordinates in the high-dimensional spectral space. Specifically, three-stage node projection and dispersion on a k-dimensional sphere in the spectral space determines the network layout. To assist interactive exploration of network topologies, network visualization and interactive analysis let users filter nodes and edges in a way that's meaningful to the global topology structure.
INDEX TERMS
Social network services, Layout, Network topology, Dispersion, Visualization, Topology, Algorithm design and analysis, Data visualization, Visual analytics,spectrum-based analysis, Social network services, Layout, Network topology, Dispersion, Visualization, Topology, Algorithm design and analysis, Data visualization, Visual analytics, visual analytics, Social network services, Layout, Network topology, Dispersion, Visualization, Topology, Algorithm design and analysis, Data visualization, Visual analytics, computer graphics, network visualization, network topology
CITATION
Xianlin Hu, Aidong Lu, Xintao Wu, "Spectrum-Based Network Visualization for Topology Analysis", IEEE Computer Graphics and Applications, vol. 33, no. , pp. 58-68, Jan.-Feb. 2013, doi:10.1109/MCG.2012.89
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