A space efficient clustered visualization of large graphs
- Publication Type:
- Conference Proceeding
- Proceedings of the 4th International Conference on Image and Graphics, ICIG 2007, 2007, pp. 920 - 927
- Issue Date:
This paper proposes a new technique for visualizing large graphs of several ten thousands of vertices and edges. To achieve the graph abstraction, a hierarchical clustered graph is extracted from a general large graph based on the community structures which are discovered in the graph. An enclosure geometrical partitioning algorithm is then applied to achieve the space optimization. For graph drawing, we technically use the combination of a spring-embbeder algorithm and circular drawings that archives the goal of optimization of display space and aesthetical niceness. We also discuss an associated interaction mechanism accompanied with the layout solution. Our interaction not only allows users to navigate hierarchically up and down through the entire clustered graph, but also provides a way to navigate multiple clusters concurrently. Animation is also implemented to preserve users' mental maps during the interaction. © 2007 IEEE.
Please use this identifier to cite or link to this item: