It's definitely not going to be based on sheer volume, but rather delta based on some averages. You need to filter out natural language too, as that can be all over the place. Although it's a different (and also secret) algorithm, take a look at http://twitscoop.com and watch their trend cloud change, might help give some ideas for algorithms etc.
On Oct 2, 9:00 pm, David Fisher <tib...@gmail.com> wrote: > 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
