Title :
Spectrum-Based Network Visualization for Topology Analysis
Author :
Xianlin Hu ; Aidong Lu ; Xintao Wu
Author_Institution :
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.
Keywords :
data analysis; data visualisation; graph theory; social networking (online); filter node; global topology structure; high-dimensional spectral space; k-dimensional sphere; network layout; node coordination; node distribution; social network; spectrum-based analysis; spectrum-based network visualization; three-stage node dispersion; three-stage node projection; topology analysis; visual-analytics approach; Algorithm design and analysis; Data visualization; Dispersion; Layout; Network topology; Social network services; Topology; Visual analytics; Visualization; Algorithm design and analysis; Data visualization; Dispersion; Layout; Network topology; Social network services; Topology; Visual analytics; Visualization; computer graphics; network topology; network visualization; spectrum-based analysis; visual analytics;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2012.89