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Spectrum-Based Network Visualization for Topology Analysis
Jan.-Feb. 2013 (vol. 33 no. 1)
pp. 58-68
| ASCII Text | x | ||
| Xianlin Hu, Aidong Lu, Xintao Wu, "Spectrum-Based Network Visualization for Topology Analysis," IEEE Computer Graphics and Applications, vol. 33, no. 1, pp. 58-68, Jan.-Feb., 2013. | |||
| BibTex | x | ||
| @article{ 10.1109/MCG.2012.89, author = {Xianlin Hu and Aidong Lu and Xintao Wu}, title = {Spectrum-Based Network Visualization for Topology Analysis}, journal ={IEEE Computer Graphics and Applications}, volume = {33}, number = {1}, issn = {0272-1716}, year = {2013}, pages = {58-68}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2012.89}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Computer Graphics and Applications TI - Spectrum-Based Network Visualization for Topology Analysis IS - 1 SN - 0272-1716 SP58 EP68 EPD - 58-68 A1 - Xianlin Hu, A1 - Aidong Lu, A1 - Xintao Wu, PY - 2013 KW - Social network services KW - Layout KW - Network topology KW - Dispersion KW - Visualization KW - Topology KW - Algorithm design and analysis KW - Data visualization KW - Visual analytics KW - visual analytics KW - Social network services KW - Layout KW - Network topology KW - Dispersion KW - Visualization KW - Topology KW - Algorithm design and analysis KW - Data visualization KW - Visual analytics KW - computer graphics KW - network visualization KW - network topology KW - spectrum-based analysis VL - 33 JA - IEEE Computer Graphics and Applications ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2012.89
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,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,spectrum-based analysis
Citation:
Xianlin Hu, Aidong Lu, Xintao Wu, "Spectrum-Based Network Visualization for Topology Analysis," IEEE Computer Graphics and Applications, vol. 33, no. 1, pp. 58-68, Jan.-Feb. 2013, doi:10.1109/MCG.2012.89
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