[ml] Social Network

Jared Dunne jareddunne at gmail.com
Fri Nov 19 20:18:24 PST 2010


Hi All-

I've calculated both outbound and inbound degrees for all nodes in the
data.  I've added the data to the wiki page linked below.  But I'll paste
the relevant info below for your reference as well.
https://www.noisebridge.net/wiki/Machine_Learning/Kaggle_Social_Network_Contest#Working_Data_Dumps

  http://dl.dropbox.com/u/14895843/social-network-kaggle/node_degree_features.csv
  First column: Node Id
  Second column: Outbound Degree (count of the number of outbound
edges from node)
  Third column: Inbound Degree (count of the number of inbound edges to node)
  Note: You can think of these as number of followees and followers
(respectively).
        Additionally, note that only the first 32.7k nodes have 'followees'

Let me know if anyone has any questions about this data.

Joe-
Thanks for adding the extra structure to the wiki.  I think the status
section is great for keeping our eye on the prize.

j-

On Thu, Nov 18, 2010 at 11:44 PM, Joe Hale <joe at jjhale.com> wrote:

> Hey,
>
> I've updated the Kaggle ML wiki page to include some subpages for
> different elements we'll need to solve. I've also been trying to
> figure out the size of the problem - it looks big :) We need to decide
> how to keep it manageable.
>
> It would be nice to have a scalable and concrete plan of attack for next
> week.
>
> Laters,
>
> Joe
> _______________________________________________
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> ml at lists.noisebridge.net
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>
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