Visual Matrix Clustering of Social Networks
Pak Chung Wong, Patrick Mackey, Harlan P. Foote, Richard Allen May · IEEE Computer Graphics and Applications · 2013
The prevailing choices to graphically represent a social network are a node-link graph and an adjacency matrix. Both techniques have unique strengths and weaknesses for different domain applications. This article focuses on how to change adjacency matrices from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. Node-link graphs supplement the discussion.