wanderingstan

Prelimenary results from Blogroll Ranking

Submitted by stan on Mon, 2007-02-26 16:53.

Who are the influential bloggers? Which blogs matter? What metrics would you use to even begin to answer these questions?

I've been exploring alternate methods of ranking in the past months. The best results are coming from examining Blogrolls. When you think about it, blogrolls compromise the links in a huge implicit trust network. For now I'm calling the calculated score "PeopleRank". It's kinda like PageRank, in that blogroll links from higher PeopleRank-ed blogs count more. E.g. if Om Malik has you on his blogroll, that counts a lot more for your ranking than the blogroll of your niece on Livejournal. (No offense to your niece.)

So here are the top 50 blogs as ranked by the preliminary algorithm: (Commentary and caveats follow)

Blog NameURLPeople RankBlogroll Count
TechCrunch (Arrington & Friends)http://www.techcrunch.com/16.8855074
Fred Wilsonhttp://www.avc.blogs.com13.6566359
Om Malikhttp://www.gigaom.com/10.9029551
Subscribe to Posts (RSS)http://feeds.feedburner.com/10.3572158
Battelle, Johnhttp://www.battellemedia.com/9.4331636
kottkehttp://www.kottke.org/9.3074523
Micro Persuasionhttp://www.micropersuasion.com/9.0508335
doocehttp://www.dooce.com/8.7559724
CNNMoney.comhttp://money.cnn.com/8.2495114
Advertise on this bloghttp://money.cnn.com/services/mediakit/8.2495114
Creating Passionate Usershttp://headrush.typepad.com/creating_passionate_users/8.0562751
Instapundithttp://www.instapundit.com/8.0155530
Brad Feld - Feld Thoughtshttp://www.feld.com/blog/7.7637657
BuzzMachinehttp://www.buzzmachine.com/7.6879931
Seth's Bloghttp://sethgodin.typepad.com/seths_blog/7.6417844
Full Contenthttp://www.gizmodo.com/index.xml7.3946210
Commentshttp://www.gizmodo.com/xml/comments7.3946210
How to Change the Worldhttp://blog.guykawasaki.com/7.3678239
Read/WriteWebhttp://www.readwriteweb.com/7.3257227
Canuckflackhttp://www.canuckflack.com/7.2596211
Slashdothttp://www.slashdot.org/7.2252632
Gizmodohttp://www.gizmodo.com/7.2231419
Movable Typehttp://www.movabletype.org/6.9231415
David Jones/PR Workshttp://www.prworks.ca/6.6716211
GestureBankhttp://blogs.zdnet.com/6.6173820
Hugh Macleodhttp://www.gapingvoid.com/6.5889619
Michelle Malkinhttp://www.michellemalkin.com/6.5325628
New World Noteshttp://secondlife.blogs.com6.479616
Bad Astronomyhttp://www.badastronomy.com/6.344409
Talking Points Memo: by Joshua Micah Marshallhttp://www.talkingpointsmemo.com/6.3078623
James Governorhttp://www.redmonk.com/jgovernor/6.1155223
Three Kid Circushttp://www.threekidcircus.com/threekidcircus/6.10842109
Sweetneyhttp://www.sweetney.com/6.08445107
Rain City Real Estate Guidehttp://www.raincityguide.com/6.0608711
Fussyhttp://www.fussy.org/6.0041616
SpiffyJapanhttp://www.spiffyjapan.com/5.973015
Jottings By An Employer's Lawyerhttp://employerslawyer.blogspot.com5.952577
VentureBloghttp://www.ventureblog.com/5.9191624
Joho the Bloghttp://www.hyperorg.com/blogger/5.8558623
Jeneane Sessum - Alliedhttp://allied.blogspot.com5.7354491
Her Bad Motherhttp://www.badladies.blogspot.com5.73306108
George's Emplthttp://www.employmentblawg.com/5.715517
B.L. Ochman's Webloghttp://www.whatsnextblog.com/5.6922611
Captain's Quartershttp://www.captainsquartersblog.com/mt/5.6529528
Techdirt (Mike Maznick)http://www.techdirt.com/5.6469321
Venture Chronicleshttp://jeffnolan.com/wp/5.6313433
This Blog Sits at thehttp://www.cultureby.com/trilogy/5.509869
Shel Holtzhttp://blog.holtz.com/5.4934010

Caveats of this calculation:

  • Results with ~5K blogs crawled.
  • Blogroll Count = Number of blogrolls this blog appears on = How many people publicly admit to reading this blog.
  • The interesting datapoints are where the PeopleRank ordering puts a blog higher in the list than one with a higher blogroll count -- those fewer subscribers must be "more important".
  • This crawl took Lijit user blogs as the starting seeds giving an overall tech bias.
  • However, there was a period when the crawler went unchecked into what can only be called "The Mommy-o-sphere" so there is an over representation of Mom-blogs in teh dataset.
  • Our blogroll detector algorithm still gets false positives, thus the high rank for "Subscribe to Feedburner" and the multiple ColoradoStartups.com listings.
  • Some blogs use a Blogrolling widget for a "Web Ring" functionality, thus erroneously appearing as blogrolls. This explains most of the 100+ blogroll counts.
  • We need better de-duping. Several blogs appeared until multiple URL's, reducing the overall score.

So how is this different from existing rankings? Til now, the most common methods have fallen into one of two camps:

  1. Number of subscribers. I.e. a pure democracy. Use some combination of Feedburner (for RSS readers) and some web analytics (for web readers) to count the raw number of people reading a blog.
  2. Raw number of incoming links (citations). This is similar, except that links are counted instead of subscribers.

Note that neither method discriminates between the blogs "casting the votes". It doesn't matter if that 24th reader of your blog happens to be Scoble. Nor does it matter if those 3 citations to your blog in the last month (Technorati defines this as "very low authority") came from Seth Godin, Fred Wilson, and Guy Kawasaki.

Initial results are encouraging, and I hope to do more analysis this week. What do you think? If you have any suggestions or ideas, please get in touch with me.

As one of the representative

As one of the representative mom-bloggers from your dataset, I find my appearance on this list baffling, yet enthralling. Now, to figure out how to wield this newly discovered importance.

Heh.

Like I said, it's beta.

Like I said, it's beta. :)

Looks like you showed up on the blogrolls of several well connected bloggers in my limited sample.

Savor your high ranking while you can!

1. Bias is exactly what you

1. Bias is exactly what you want from a metric like this: you want what the individual idiosyncrasies of each person to shine through.

2. Most blogrolls seem to be connected to someone's feed reader. Mine is connected Bloglines, many others use Newgator or such. In these cases, it correctly shows which blogs a blogger is regularly reading. I'd argue that's something very important. E.g. there are many blogs I read but don't link to in my posts. By Technorati's standards I contribute nothing to their rank.

3. Your assuming that "driving a user to the site" is what matters. What I'm trying to get at is not "who gets the most traffic" but rather "who are the key influencers." E.g. If a blog has only 3 regular readers, but those readers each write blogs with audiences of millions, then that first blog is certainly important.

Not sure what you mean about trying to promote Technorati. One of the main motivators for this experiment was dissatisfaction with their narrow definition of authority.

I agree that the key is to look beyond these top blogs. This is a first step into a new way of ranking blogs, and one which is very conducive to identifying experts within given domains. That's when things will really get interesting!

Awesome! This is one of

Awesome! This is one of those things that makes total sense after the fact -- "duh" -- but no one had done it yet! I look forward to seeing how the list changes as the exploration evolves...

Blogroll is an irrelevant

Blogroll is an irrelevant metric 'cause:
1. They are biased
2. Updated infrequently or never
3. Blogs by themselves don't matter the most. It is the individual post that drives a user to the site.

Yours is just another attempt to promote Technorati top 100. People who have the ability to look and search beyond these blogs will succeed. Others are mere spectators.

There must be something

There must be something wrong with your methodology! I've never had Rain City Guide put in the same list as so many great bloggers! :) Nonetheless, I'm flattered and would definitely be interested to know a bit more about what went into your PeopleRank algorithm.

Do you expect the results to change substantially when you add more blogs?

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