Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
G. Flake, S. Lawrence, and C. Giles. Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD \textquotesingle00, ACM Press, (2000)
A. Mislove, B. Viswanath, K. Gummadi, and P. Druschel. Proceedings of the Third ACM International Conference on Web Search and Data Mining, page 251--260. New York, NY, USA, ACM, (2010)
J. Yang, and J. Leskovec. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, page 587--596. New York, NY, USA, ACM, (2013)
A. Lancichinetti, and S. Fortunato. (2009)cite arxiv:0908.1062Comment: 12 pages, 8 figures. The software to compute the values of our general normalized mutual information will be soon available at http://santo.fortunato.googlepages.com/inthepress2.
F. Mitzlaff, D. Benz, G. Stumme, and A. Hotho. HT '10: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, page 265--270. New York, NY, USA, ACM, (2010)