Comments on: IDEA #30 – People Meter – Who’s Who Of The World 500 Ranking List

By: Guest

Guest — Thu, 26 Jan 2012 23:26:00 +0000

Hm, would Klout fit into this?

By: Enes Kaya

Enes Kaya — Fri, 05 Aug 2011 20:59:00 +0000

funny idea! really cool

By: Chris Keller

Chris Keller — Mon, 05 Mar 2007 21:52:26 +0000

We already use that technology over at http://www.fafarazzi.com for the celebrity world. You can see who’s hot, cold, and stats about their presence and what’s happening with the users game play activity around those stars.

In addition, another site that does what you were talking about is http://www.egosurf.org/

By: Simon

Simon — Thu, 01 Mar 2007 13:28:13 +0000

when MySpace will be publishing “500 most popular profiles” that problem would be solved

By: Jeremy Kandah

Jeremy Kandah — Thu, 01 Mar 2007 12:25:23 +0000

follow up:
I think I got about 20+ hits from your site yesterday. Not too crazy I guess.

By: Center of Cyberspace Boldly Going

Center of Cyberspace Boldly Going — Thu, 01 Mar 2007 00:06:57 +0000

[...] The basic concepts of this idea has to do with XFN relationship linking technologies. This could either be a contest oriented thing, or like Steve Poland talks about over at this post, an ongoing situation that is constantly ranking individuals. [...]

By: Chad Jackson

Chad Jackson — Wed, 28 Feb 2007 21:15:55 +0000

Could you not get a relative sense of this data via Yahoo Buzz?

http://buzz.yahoo.com/

By: Steve Poland

Steve Poland — Wed, 28 Feb 2007 21:00:21 +0000

Could be a ‘tracker’ for VC’s, CEO’s, … all sorts of defined topic/category niches.

By: Jeremy Kandah

Jeremy Kandah — Wed, 28 Feb 2007 20:54:03 +0000

It all reminds me of high school, where we had ranks by our grades. But for this, I assume the most attractive men/women would be first, the most successful, then the most unsuccessful.

Aggregate web technologies are kind of the new breed of sites (in my opinion).

By: Wayne

Wayne — Wed, 28 Feb 2007 16:30:21 +0000

Would you want to take into account the context of how the name/term was used? For example a site know to talk about politics might be separated from a site that talks about entertainment news. There is also the issue of good or bad coverage, unless the idea is just to show aggregate coverage.

To do the first part sites might be categorized based upon how they show up in the Open Directory. Not perfect but I trust that categorization more than I do an automated machine analysis. This way the reporting could say, “X went up Y% on Entertainment sites, but went down Z% on Political sites.”

Oddly enough, something like this would probably be popular because it feeds people’s narcissism.

Wayne