I’m not entirely sure what we’re looking at here, other than relationships between Mexican drug cartels. Maybe someone can shed some light on the subject.
[Edge via We Love Datavis]
Data is probably from Project Coronado..
You could probably send an email or a tweet to the guy named in the lower left corner — Eduardo Salcedo-Albarán — for the full story.
This was also featured on http://www.fastcodesign.com, with an explanation of how to read it. Basically it shows the integration between cells of La Michoana and Government agencies, and the amount of information flowing between them:
How to draw this kind of map?
I wonder these nodes are manually placed?
The diagram looks sort of like a Gephi mapping, because of the curved network edges.
The layout looks like a force-directed layout with a fish-eye projection… but I’m not sure. =P
Thank you for your comment.
I hope an actionscript version of JUNG, java graph library, or any graph layout engines.
In the bottom right corner. There is a short explanation.
1. narcotraffickers ← connection → public-servants
2. capacity for arbitrating information
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A closer look at the age old question of where there are more bars than grocery stores, and vice versa.
We know when people usually get married. We know who never marries. Finally, it’s time to look at the other side: divorce and remarriage.
There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.
I almost didn’t make a best-of list this year, but as I clicked through the year’s post, it was hard …