

Never allow your students to get away with an answer that amounts to "because it's better". Have them prove it to the best of their ability, and when they're wrong, ask them to figure out why they're wrong.  Tom Line [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 06:02 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 07:32 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 10:42 PM
SenorZI'm sort of surprised at the connection between San Diego and Las Vegas.
Thanks for the map.
09082017 11:13 PM
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 08:26 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 08:33 AM
forbes09092017 09:41 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.
