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Google Follow Finder Algorithm Issues #google #twitter [UPDATE]

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Google Labs’ Follow Finder, announced on the 14th says of itself:

Follow Finder analyzes public social graph information (following and follower lists) on Twitter to find people you might want to follow.

It actually does much more than it promises.

“Tweeps you might like” probably does some geographic profiling, as I probably have 67 Dutch people I follow[1] of 2000+ – with the exception of some political figures of the Dutch Green party – yet I have 8 Dutch people in my top 10. I get 3 prominent members in the top 10, 2 of whom are ministers of the Dutch parliament. It completely ignores the fact that I have some of them in one of my lists. 4 politicians of other parties and the others associated with politics, and a Dutch comedian who I don’t like.

In “Tweeps with similar followers” there are 2 Dutch super connectors in the top 10 I follow, @jankarel (#3) and @woepwoep (#4), as well as @thomaspower (#8) or @vincentwright (#6), also both networking super connectors. This doesn’t surprise me, what does surprise me is that the first 2 don’t follow @fritswester and still have him in their top 4 “Tweeps you might like”. In other words, it ignores the tweeps like me and reads my tweets.

“Tweeps with similar followers” also isn’t sorted. Using Twiangulate I discover that @jankarel is less like me than @woepwoep

9 followed by jankarel, webhat and woepwoep
19 followed by jankarel and webhat
27 followed by jankarel and woepwoep
237 followed by webhat and woepwoep

and other two are also more like me:

5 followed by thomaspower, VincentWright and webhat
20 followed by thomaspower and VincentWright
191 followed by VincentWright and webhat
20 followed by thomaspower and webhat

Still @jankarel is number 3 in the list. Add the comparison of the first two in the list:

31 followed by keltie63, topexecutives and webhat

It does no sorting at all!

Tweep like me doesn’t even try:

The tweep most like me is @booge3872!

Twiangulate says:

84 followed by booge3872 and webhat

(Although she seems to be unfollowing people, as my first search we had 102 common followers.)

At least GLFF tried, and it’s a Labs product, so I don’t expect it to get it right the first time.

Just in case you didn’t know, I’m @webhat and you can find my GLFF data here.

UPDATE: Twiangulate returns different results for @booge3872 on booge3872-webhat and booge3872-webhat-kevinrose and booge3872-woepwoep-webhat.


Written by Daniël W. Crompton (webhat)

April 17, 2010 at 6:19 pm

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