Here are excerpts from the description:
[…] I wrote a short script to read all of the law prof twitter handles included in [Bridget Crawford’s Law Prof Twitter] census (along with a few provided by others individually) and query the twitter API to get the follower lists and statistics for each user. This allowed me to both rank law prof twitterers (because we all know how much people like to rank things) and project them onto an interactive network so we can see how they relate to one another.
To view the network, click through the image below. The law prof network (consisting of following relationships amongst law profs in the census) has 583 nodes and 20709 edges (directed density = 0.061). The entire network (including all of the followers of all of the law profs) is much larger. In total there are 795,399 unique twitter users who follow law profs. […]
Colors in the network correspond to communities detected using the Louvain method. Modularity in the network is 0.336, with 4 communities and a few solo nodes/pairs. […]
For the network diagram, distribution figure, tables, and more details, please see the complete post.