Comments on: BillMonk Spreads Like a Happy Virus http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/ On social money and running BillMonk.com Tue, 01 Dec 2009 17:58:13 +0000 http://wordpress.com/ hourly 1 By: Life Insurance blog http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-36259 Life Insurance blog Wed, 05 Mar 2008 21:37:32 +0000 http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-36259 <strong>the insurance companies don't want you to know</strong> Information on the life insurance industry the insurance companies don’t want you to know

Information on the life insurance industry

]]> By: billmonk http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-52 billmonk Sat, 25 Feb 2006 20:35:43 +0000 http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-52 Brian - the application we used to create this graphic is "neato", and it's part of the free Linux "GraphViz" package (originally authored by AT&T research, I believe). I agree that a distribution of someone's connectedness would be quite neat to show; another thing we have a great interest in modeling and visualizing is the time dimension, between how long after you are first "infected" by BillMonk that you start to use it, and the rate at which that happens. As time allows it, these will be done. One reason we did this anaylsis was to get a sense of to how many unconnected social network graphs there are; how many clumps are there? What's their size distribution? We actually like clumps a lot because if BillMonk remains clumpy as it grows, that means one way to scale could be to partition our DB by clumps (it's a bad idea to partition a connected graph, but unconnected subgraphs are ok). Brian – the application we used to create this graphic is “neato”, and it’s part of the free Linux “GraphViz” package (originally authored by AT&T research, I believe). I agree that a distribution of someone’s connectedness would be quite neat to show; another thing we have a great interest in modeling and visualizing is the time dimension, between how long after you are first “infected” by BillMonk that you start to use it, and the rate at which that happens. As time allows it, these will be done.

One reason we did this anaylsis was to get a sense of to how many unconnected social network graphs there are; how many clumps are there? What’s their size distribution? We actually like clumps a lot because if BillMonk remains clumpy as it grows, that means one way to scale could be to partition our DB by clumps (it’s a bad idea to partition a connected graph, but unconnected subgraphs are ok).

]]> By: brian http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-51 brian Sat, 25 Feb 2006 18:52:26 +0000 http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-51 this is fascinating to look at; what graphing software did you use? it'd also be interesting to see a distribution of the # of connections per person. this is fascinating to look at; what graphing software did you use? it’d also be interesting to see a distribution of the # of connections per person.

]]> By: Tom http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-50 Tom Fri, 24 Feb 2006 00:11:20 +0000 http://billmonk.wordpress.com/2006/02/23/billmonk-spreads-like-a-happy-virus/#comment-50 That is sweet. I love graphs! That is sweet. I love graphs!

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