This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Visual Matrix Clustering of Social Networks
July-Aug. 2013 (vol. 33 no. 4)
pp. 88-96
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.
Index Terms:
Social network services,Data visualization,Visualization,Image color analysis,Visual analytics,Geospatial analysis,Sociology,computer graphics,adjacency matrix,node-link graph,social networks,visualization,visual analytics
Citation:
Pak Chung Wong, P. Mackey, H. Foote, R. May, "Visual Matrix Clustering of Social Networks," IEEE Computer Graphics and Applications, vol. 33, no. 4, pp. 88-96, July-Aug. 2013, doi:10.1109/MCG.2013.66
Usage of this product signifies your acceptance of the Terms of Use.