Nodes are sized according to the their In-degree, or the number of times someone has mentioned that user in a tweet. The images for each node are the actual profile image for each user.
This image contrasts a similar image created by Marc Smith. I'm unsure of the difference in the image is due to the fact that his data is from 10/8/2011 or that I'm still a bit new to the new Group in a Box feature of NodeXL. I don't see many other ways to cluster the nodes so I'm inclined, at this moment, to say the difference in the network structure is due to a shift in the composition of the network due to the many events surrounding the 'Occupy' movement over the past month.
The data for this visualization was captured over a 22-hour period from the evening of 11/12/2011 - the afternoon of 11/13/2011. Previous blog posts show how to use Python and MongoDB to store and parse this data.
For comparison purposes, the below image is the same network without the Group in a Box clustering method applied:
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