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by lotharbot 4291 days ago
From a quick skim of the algorithm paper, here's what I understand of how it picks "high assimilation score" people:

1) look at all links to mutual friends; categorize friends based on their connectedness to different clusters (ie, "school friends", "work friends", etc.) 2) look for friends who are mutual friends with people from multiple clusters (people who know both your family and your coworkers -- "bridge friends") 3) look especially for friends who are friends with multiple people from category 2 (people who know most of your bridge friends)

The assumption seems to be that people who are peripheral friends will only know others from one circle. People who are somewhat close will know others from multiple circles. And people who are the closest to you will know a lot of your multi-circle friends.

(FWIW: this put my wife well ahead of anyone else, but the rest of the ordering seems barely better than random. A guy I played video games with a couple times back in 1998 is #2 by a large margin; the guy from the same video game who my wife and I hang out with several times a week and who co-runs some major projects with us scores less than 1/4 of that. My dad clocks in just behind the new youth pastor at my church who I've known for all of two weeks.)

3 comments

Yeah it seems like it is also a bit zero sum - the higher your 1st match is the lower the rest will be.

This probably happens because if your partner has a large number of connections to the other important people in your life, your partner (/person with most connections to all the various groups) then absorbs all of those people, leaving only people with no connection to those groups to take up the runner up spots.

'Inanimate carbon rod', a page that was a friend's joke and has never had any posts, came 8th on my list.
Well, that's a Simpsons joke[1], so maybe it's popular because of that.

[1] http://simpsons.wikia.com/wiki/Inanimate_carbon_rod

I think it makes sense that your wife (or SO) would score very highly; if someone is close to you, you typically introduce them to friends, family, co-workers.

A more interesting question would be to ask if it has any predictive power.

Though, also, FWIW, I can't get it to run (getting an error already reported in another comment).