Graph drawing by force-directed placement
Software—Practice & Experience
Drawing graphs nicely using simulated annealing
ACM Transactions on Graphics (TOG)
Information visualization: perception for design
Information visualization: perception for design
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
A Fast Adaptive Layout Algorithm for Undirected Graphs
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
BRITE: An Approach to Universal Topology Generation
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Evolution and Structure of the Internet: A Statistical Physics Approach
Evolution and Structure of the Internet: A Statistical Physics Approach
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
"Alone together?": exploring the social dynamics of massively multiplayer online games
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Speed-up techniques for shortest-path computations
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
Drawing the AS graph in 2.5 dimensions
GD'04 Proceedings of the 12th international conference on Graph Drawing
GerbilSphere: Inner sphere network visualization
Computer Networks: The International Journal of Computer and Telecommunications Networking
GD'11 Proceedings of the 19th international conference on Graph Drawing
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The analysis and the exploration of complex networks nowadays involves the identification of a multitude of analytic properties that have been ascertained to constitute crucial characteristics of networks. We propose a new layout paradigm for drawing large networks, with a focus on decompositional properties. The visualization is based on the general shape of an annulus and supports the immediate recognition of a large number of abstract features of the decomposition while drawing all elements. Our layouts offer remarkable readability of the decompositional connectivity and are capable of revealing subtle structural traits.