%w7/Nzz94flgf10oev1htSvH03H6lVxLi2OJgzPbnEwE=.sha256
I think @andrestaltz did some visualization experiments.
%eER5l7FUPhhjMyef1fdNw52dRi/Ddc+EstI3j/JHIBo=.sha256
%m39t+HalWdoBSSSnMrodNKWcVgnQjzmgvjkcM7EKITk=.sha256
@isthisa check this thread about an alt-right norwegian pub: %VQb+l3l...
%tFy5b7o7psUJV0s+8t/65k2DHkn9s2vM639eKQ8oVDw=.sha256
I just downloaded gephi and got @andrestaltz fancy plugin...
I'm trying to open the 100mb svg of user-age vs connctions from my 9gb database now.
low-res screenshot-preview from within gephi:
Size is number of incoming connections, red are people with earlier network-birth, blue are newer people.
A colleague from the analytics dept in my office might clean the data a bit with his magic later, there are still some extremes in the data-set.
I'll post a dat-link later with all the labeled and unlabled exports from Adobe Illustrator. But first, back to work :').
%owGZCex6lm/LrqN8D/ANYceYqvQkOH7ilVOBaT/c7Ec=.sha256
As promised:
High-res pic of the above (finally out of the Illustrator cooker after eating away 3gb of RAM for a few hours).
dat://dd71b929967f69b2cf0bfeb4c83486b3c3bb2aa2871004cbe8ff617cbf9c323a
I'm going to pull some more pictures with central points and labels like @Staltz did in his posts earlier, purely for the sake of spicing up peoples desktop wallpapers and decentralized powerpoint presentations.
It would be kind of cool to get 5 or 6 data-sets from people far away from each other in my graph and see if different mega-clusters form, or if clusters stay as tight-knit as mine already (mostly) seems to be.
%AUPcnHuVOHbXbKLq9vyefm8rzWIRZoXxU8jgjpU1qV0=.sha256
%/VIuUg2x1O4TBKFx087qWJDcgtBsIp4v2/o90u70PRU=.sha256
%zASICfiPFDG6Jh21LGtCbXR5VVlrmIV9Y8JQf8PTMc4=.sha256