

I, for one, am perfect and therefore make no mistakes. (Unless you count all the times that I completely screw up)  Molten [more] 



The edge weight is the number of teams that attended both regionals & edges with a weight of 1 are ignored
Modularity: 0.584
Number of Communities: 14
09082017 07:02 PM
KarthikThis is pretty cool. I made something similar for the 2017 Ontario districts in January. There was some movement of teams after I generated the graphs, so the connectivity numbers won't be perfect. I did two versions, one with labelled edges and one with weighted edges.
Full sized versions here.
09082017 08:32 PM
cbale2000
This is pretty cool. I made something similar for the 2017 Ontario districts in January. There was some movement of teams after I generated the graphs, so the connectivity numbers won't be perfect. I did two versions, one with labelled edges and one with weighted edges.
Full sized versions here. 
09082017 11:42 PM
SenorZI'm sort of surprised at the connection between San Diego and Las Vegas.
Thanks for the map.
09092017 12:13 AM
Brian MIf a team goes to 3 regionals, does it add a line from each regional connecting it as if 3 teams went to 2 regionals? (Sort of like a triangle)
09092017 09:26 AM
forbes
If a team goes to 3 regionals, does it add a line from each regional connecting it as if 3 teams went to 2 regionals? (Sort of like a triangle)

09092017 09:33 AM
forbes09092017 10:41 AM
GeeTwo
I generated the communities using the modularity statistic in Gephi which apparently uses an algorithm from this paper. I adjusted the resolution parameter to around 0.3 to get the number of communities I wanted.
