Urban Interventions through Ephemeral Architectures 15:20h | Christoph Brunner (ch/ca), Jonas Fritsch (dk): Balloons, Sweat and Technologies.15:00h | Owen Mundy (us): Automata: Counter-Surveillance in Public Space.ISEA2010 RUHR Conference in Dortmund, Germany
Tags: give me my data, graph, Graphvis, nodebox, visualization My mutual friends exported from Facebook… Learn more about creating graphs in Nodebox.
#NODEBOX NETWORK DATA MAC#
py extension and open it in Nodebox, a Mac application that uses Python to create 2D visuals. You can copy and paste the contents into a plain text file saved with a. The other file format is also for visualizing relationships. This example (saved as a plain text file with the. See below for more information The DOT languageĭOT is a plain text graph description language and can be rendered using a variety of layout applications like Graphviz or Tulip. Needless to say, this is the most often requested feature since the official beta launch in April 2010. Both of the data formats are geared towards making graphs by displaying objects and their relationships. On the one-year anniversary of the beginning of Give Me My Data I’m very happy to announce that you can now export your friends and your mutual friends from facebook using two new formats. Tags: code, give me my data, graphs, networks, nodebox, social networking 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.” 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. 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. Since I have spent more time in academia than I have at specific jobs my “clusters” are based mostly on my academic history. With this you can see groups unfold based on your own social networks. When the graph renders it attempts to position people who have lots of connections closer together. 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.
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