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Editor Login
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David Lazer
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Recent Comments
- Re: baseball networks
By: Adam
Date: Dec 21, 2007 1:41 PM
Notification
« Datamining facebook | Main | Silicon valley networks »
20 December 2007
baseball networks
Interesting article in New York Times last Sunday on spread of use of performance-enhancing substances. The punchline:
Mitchell’s report contended that the use of performance-enhancing substances was spread not by stars, but by journeymen like Segui.
The report described how as Segui traveled, he put teammates in touch with Radomski, who as a former Mets clubhouse employee was viewed as an insider. Frequently, the referrals to Radomski as depicted in the report were to marginal or injured players trying to keep their jobs.
There was a neat graphic illustrating the role that Segui played in the spreading process. This is reminiscent of studies out there examining the early spread of HIV. In short, journeymen play a key bridging role in the system in disseminating information. It would be interesting to plot average degree of a player (as measured by number of teammates over the years) and probability of being named in Mitchell report, as well as the probability of being a conduit for the spread of usage more generally.
Have there been studies that have looked at player "networks" (based on who has been teammates with whom)? I guess this is formally similar to the work that Uzzi and collaborators have done on Broadway productions; one could easily produce the same kind of graphs for any sport. Not sure there are interesting questions that one could answer with data like these, but perhaps.... I wonder what role such bridges may have played, for example, in the emergence and effectiveness of unions in sports?
Posted by David Lazer at December 20, 2007 1:26 PM
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Comments
A more thorough network of how steroid use spread among baseball players is now online at Slate magazine:
http://www.slate.com/id/2180392/
The nodes are actually colored according to closeness centrality, and the clusters were found using Newman's community algorithm. Of course, the editors edited out most of the technical content.
But you can mouse-over each individual & relationship to find out why their names ended up in the Mitchell Report.
Posted by: Adam at December 21, 2007 1:41 PM