GlyphLink: An interactive visualization approach for semantic graphs
Tài liệu tham khảo
Chen, 2004
Elmqvist, 2009, Hierarchical aggregation for information visualization, IEEE Transactions on Visualization and Computer Graphics, 439
Herman, 2000, Graph visualization and navigation in information visualization, IEEE Transactions on Visualization and Computer Graphics, 24, 10.1109/2945.841119
A. Pretorius, J. van Wijk, Visual inspection of multivariate graphs, in: Computer Graphics Forum, vol. 27, John Wiley & Sons, 2008, pp. 967–974.
Aris, 2006, Network visualization by semantic substrates, IEEE Transactions on Visualization and Computer Graphics, 12, 733, 10.1109/TVCG.2006.166
M. Wattenberg, Visual exploration of multivariate graphs, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 2006, pp. 811–819.
P. Wong, G. Chin, H. Foote, P. Mackey, J. Thomas, Have green: a visual analytics framework for large semantic graphs, in: 2006 IEEE Symposium on Visual Analytics Science and Technology, 2006, pp. 67–74.
Shen, 2006, Visual analysis of large heterogeneous social networks by semantic and structural abstraction, IEEE Transactions on Visualization and Computer Graphics, 12, 1427, 10.1109/TVCG.2006.107
Batagelj, 2004, Pajek – program for analysis and visualization of large networks, Timeshift – The World in Twenty-Five Years, 20, 242
S. Borgatti, NetDraw: Graph Visualization Software, Harvard: Analytic Technologies, 2002.
K. Nurmela, E. Lehtinen, T. Palonen, Evaluating CSCL log files by social network analysis, in: Proceedings of the 1999 Conference on Computer Support for Collaborative Learning, International Society of the Learning Sciences, 1999.
L. Singh, M. Beard, L. Getoor, M. Blake, Visual mining of multi-modal social networks at different abstraction levels, in: Information Visualization, 2007, IV'07, 11th International Conference, 2007, pp. 672–679.
Ware, 2004
Mackinlay, 1986, Automating the design of graphical presentations of relational information, ACM Transactions on Graphics (TOG), 5, 110, 10.1145/22949.22950
L. Nowell, R. Schulman, D. Hix, Graphical encoding for information visualization: an empirical study, in: Proceedings of the IEEE Symposium on Information Visualization (InfoVis' 02), 2002, pp. 43–.
Ebert, 2000, Procedural shape generation for multi-dimensional data visualization, Computers & Graphics, 24, 375, 10.1016/S0097-8493(00)00033-9
D. Ebert, J. Kukla, C. Shaw, A. Zwa, I. Soboroff, D. Roberts, Automatic shape interpolation for glyph-based information visualization, in: IEEE Visualization, vol. 97, 1997.
F. Post, F. Post, et al., Iconic techniques for feature visualization, in: Proceedings of the 6th Conference on Visualization'95, IEEE Computer Society, 1995, pp. 288–.
D. Auber, Tulip – a huge graph visualization framework, Graph Drawing Software, 2003.
B. Lee, C. Plaisant, C. Parr, J. Fekete, N. Henry, Task taxonomy for graph visualization, in: Proceedings of the 2006 AVI Workshop on Beyond Time and Errors: Novel Evaluation Methods for Information Visualization, ACM, 2006, pp. 1–5.
D. Archambault, T. Munzner, D. Auber, Grouse: feature-based, steerable graph hierarchy exploration, in: Proceedings of Eurographics/IEEE VGTC Symposium on Visualization (EuroVis' 07), Citeseer, 2007, pp. 67–74.
Van Walsum, 1996, Feature extraction and iconic visualization, IEEE Transactions on Visualization and Computer Graphics, 2, 111, 10.1109/2945.506223
E. Fanea, S. Carpendale, T. Isenberg, An interactive 3D integration of parallel coordinates and star glyphs, in: IEEE Symposium on Information Visualization, 2005, INFOVIS 2005, 2005, pp. 149–156.
L. Bartram, Can motion increase user interface bandwidth in complex systems? in: 1997 IEEE International Conference on Systems, Man, and Cybernetics, 1997, ‘Computational Cybernetics and Simulation’, vol. 2, 1997, pp. 1686–1692.
N. Elmqvist, N. Henry, Y. Riche, J. Fekete, Melange: space folding for multi-focus interaction, in: Proceedings of the Twenty-Sixth Annual SIGCHI Conference on Human Factors in Computing Systems, ACM, 2008, pp. 1333–1342.