The prevailing choices to graphically represent a social network in today’s literature are a node-link graph layout and an adjacency matrix. Both visualization techniques have unique strengths and weaknesses when applied to different domain applications. In this article, we focus our discussion on adjacency matrix and how to turn the matrix-based visualization technique from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. We also use node-link layouts to supplement the discussion.
Revised: August 27, 2013 |
Published: July 1, 2013
Citation
Wong P.C., P.S. Mackey, H.P. Foote, and R.A. May. 2013.Visual Matrix Clustering of Social Networks.IEEE Computer Graphics and Applications 33, no. 4:88-96.PNNL-SA-95221.doi:10.1109/MCG.2013.66