An algorithm for drawing general undirected graphs
Information Processing Letters
Self-Organizing Maps
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Self-Organizing Graphs - A Neural Network Perspective of Graph Layout
GD '98 Proceedings of the 6th International Symposium on Graph Drawing
Exploratory Social Network Analysis with Pajek
Exploratory Social Network Analysis with Pajek
Non-Euclidean Spring Embedders
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
The Geodesic Self-Organizing Map and its error analysis
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
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A multivariate network is a graph whose nodes contain multi-dimensional attributes. We propose a method to visualize such a network using spherical Self-Organizing Map (SOM) and circular layout. The spherical SOM produced an initial graph layout by grouping nodes with similar attributes to adjacent areas on the sphere. The circular layout algorithm fine tunes the position of each node to avoid node-node/node-edge overlap and minimize the number of edge crossings. We also implement an interface to project the spherical image onto a 2D plane such that the user can have a global view of the data set. The user is allowed to select any point of interest to be the center of the 2D projection.