It's pretty simple, but with a few twists. First of all, remember that everything that Twitter does is done with simplicity and efficiency in mind.
For the most part its just a frequency count of words over a short time period, minus stop words, filtering out usernames (notice @foo is never a trend) and URLs. How it combines "Wave OR Google Wave" I'm unsure of, and then there's some basic spam filtering in there additionally. I was theorizing that some of it is based on accelleration of words above their standard volume. Apple for example is always talked about a great deal, but isn't always trending. Sometimes it has a greater volume than other trending words, but it doesn't trend. Yet some things stick around for a long time like IranElection. I need to dig into this more. I almost had it fully modeled at one point, then lost the code (damn you version control mistakes) dave On Oct 2, 10:54 am, Nigel Cannings <nigelcanni...@googlemail.com> wrote: > @secretbear did it first in the halcyon days of the PubSub Firehose... > I'd ask him > > ================================================================== > > Why not encrypt the mail you send me? You never know who's looking. > If you use Firefox, why not use the FireGPG plugin to make it easy > (http://getfiregpg.org) > > Get my key from:http://keyserver.pgp.com/ > > ================================================================== > > > > On Thu, Oct 1, 2009 at 4:20 PM, Martin Dudek <goosegoesgro...@gmail.com> > wrote: > > > Good morning > > > wonder if somebody knows how twitter determines the ten trends it > > declares every five minutes? Is this a pure word/phrase frequency > > algorithm or some more complexity behind. > > > Thanks > > > martin
