Handbook of Graphs and Networks: From the Genome to the Internet
Handbook of Graphs and Networks: From the Genome to the Internet
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Exploring InfoVis Publication History with Tulip
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Comparaison de la lisibilité des graphes en représentation noeuds-liens et matricielle
IHM 2004 Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine
TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts
IEEE Transactions on Visualization and Computer Graphics
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Multiscale visualization of small world networks
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
A user study on visualizing directed edges in graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An empirical study on the impact of edge bundling on user comprehension of graphs
Proceedings of the International Working Conference on Advanced Visual Interfaces
Applying reinforcement learning for web pages ranking algorithms
Applied Soft Computing
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This methodological note focuses on the edge density of real world examples of networks. The edge density is a parameter of interest typically when putting up user studies in an effort to prove the robustness or superiority of a novel graph visualization technique. We survey many real world examples all being of equal interest in Information Visualization, and draw a list of conclusions on how to tune edge density when randomly generating graphs in order to build artificial though realistic examples.