This “Mutual friends network graph” created with Nodebox using data I exported with Give Me My Data contains 540 “Facebook friends” and their connections to each other. When the graph renders it attempts to position people who have lots of connections closer together. With this you can see groups unfold based on your own social networks. Since I have spent more time in academia than I have at specific jobs my “clusters” are based mostly on my academic history.
You can also see that there are a lot of connections between my high school and where I did my undergraduate study, which is based on the fact they are located very close to each other, so friends from high school also chose the same university or town to live in. There are also a lot of interconnections between Indiana University where I did my undergrad, the University of California, San Diego, where I did graduate study, and Florida State University, where I teach now. This is probably due to the fact that my connections are all within a given field, in my case visual arts, and points to the often expressed notion that “the art world is actually very small.”
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