Hi folks, my team at YesGraph made this. This is an experimental side project. We started to dig into social graph visualization, and wanted to share what we came up with. What we're showing here are your friends and followers and who follows each other.
Everyone's graph is different! Sometimes this makes for interesting clusters. Here is my graph. 170K edges! You can see Dropbox folks in the top left.
https://www.yesgraph.com/visuali...
Ryan Hoover's graph is bigger than mine, but blobbier.
https://www.yesgraph.com/visuali...
We were inspired my LinkedIn's InMaps from a few years ago, and I envy their awesome clustering. InMaps was clustered by schools and companies, but for Twitter the obvious clustering is around interests. But building an ontology and assigning a label to a group is pretty hard future work for this project.
Shout out to the Graphistry folks for their data tools here! There is an immense amount of engineering we didn't need to do because we stood on their shoulders.
https://www.graphistry.com/
@nikkielizdemere@ikirigin Hi Nichole, engineer at YesGraph here. It usually it only takes a couple minutes to generate a graph. We had a little trouble with the Graphistry API last night, but have deployed a fix. The backlog of graphs should be clearing now. Drop your email so we can make sure your graph gets to you? Thanks for your patience!
Thanks Ivan! This is likewise an early experiment of sharing our stack with others. Happy to answer questions about what our other users are doing (e.g., for investigating events in Splunk), or how the live version uses GPUs in the client + cloud for new kinds of visual & analytics experiences. Interestingly, the TwinMap already revealed old friends who I should be following but haven't been :)
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