Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MCG.2012.89 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
network layout,global topology structure,filter node,three-stage node dispersion,social network,three-stage node projection,spectral space,computer graphics,data analysis,network topology,interactive exploration,network visualization,visualization,topology analysis,dispersion,algorithm design and analysis,network visualization technique,data visualisation,node coordination,visual analytics,topology,spectrum-based network visualization,social network services,data visualization,node distribution,graph theory,high-dimensional spectral space,layout,social networking (online),spectrum-based analysis,k-dimensional sphere,interactive analysis,visual-analytics approach | Graph drawing,Logical topology,Topology,Data visualization,Visualization,Computer science,Network simulation,Visual analytics,Network topology,Theoretical computer science,Spectral space | Journal |
Volume | Issue | ISSN |
33 | 1 | 0272-1716 |
Citations | PageRank | References |
8 | 0.43 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianlin Hu | 1 | 19 | 2.06 |
| Aidong Lu | 2 | 353 | 30.18 |
| Xintao Wu | 3 | 892 | 76.91 |