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CMU algorithm produces new blog ratings

Posted by: Stephen Baker on November 19

Just got a release from Carnegie Mellon about a new algorithm that rates the blogs we should read “to be most up to date.” Interestingly, if we have only time to read 100 blogs, Instapundit ranks first. (Since it’s an academic exercise, it uses 2006 data, and focuses on variables such as inlinks, outlinks, and posting frequency.) But if we have time to read 5,000, the list changes dramatically.

What interests me most about this algorithm is that it can be extended into other domains, such as detecting disease outbreaks in water distribution networks. After all, it’s just the network math of contagion, whether we’re busy spreading ideas or the bubonic plague.

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Reader Comments

J A GInsburg

November 19, 2007 05:46 PM

Interesting. But I'm not sure how useful it would actually be re water distribution networks. Basically, you want to keep water-borne contaminants from getting into the pipeline at all, which is why global treatments such as chlorination at the source are used. If anything such as cholera (yipes!) is suspected, boil orders go out immediately.

Years ago I was working on a Discovery Channel series -- while I was spelunking in Polish salt mines, the other crew was in Italy filming a segment on the aquaducts of Rome. The ever-resourceful Italians use live fish in strategically placed tanks to see what's what. If the fishies go belly up, not good. But at least there's plenty of good wine to drink. ..

As for bubonic plague -- if there's an algorithm that can predict vector-borne disease outbreaks (in this case, fleas and rats), I seriously would like to know about it. Really. Seriously. It has to do with something I'm working on right now.

Historically, the most effective plague surveillance was a scheme that started under the tsars in Russia. With the advent of trains, there was considerable concern that outbreaks in the further reaches of the empire, such as Central Asia, could spread quickly into cities. So a team of incredibly dedicated biologists were sent out into the hinterlands to figure out the links between outbreaks in wildlfe and outbreaks in people. The Anti-Plague program was continued under the Soviets and ulitimately folded into the biowarfare department ("These guys know plague!"). But to this day it remains one of the best examples of proactive disease surveillance ever. Find me an algorithm that can match it and I'd be thrilled...

Jon Garfunkel

November 19, 2007 10:58 PM

Steve-- Interesting.

Even more interesting how this announcement *itself* has been slow to spread through the blogosphere. Google counts only two sites referencing it today.

MK

November 20, 2007 11:24 AM

Hi. I know that it was an old article, and it's from way back in the day. Do you still have such an issue with blogs now that you've actually joined the blogsphere?

Just curious.

-someone who read an article from 2005-

jbr

November 21, 2007 02:55 PM

maybe, i missed the intent of this entry. shouldn't the reason to read anything is because it is interesting? just because an algorithm thinks it's has "interest" doesn't necessarily make it so. to me, it's just another measure of our too fast society....and, no, i don't like the new e-reader/download scheme being pushed by bezos...call me old fashioned..

i would rather see topics or sysnopsis of high interest rather than a site that many people are linking/hitting. does this algorithm investigate tag clouds and not sites?

anyway, hope you have a grand Thanksgiving...not sure I like the new banner...black/white/gray is a bit gloomy for me...plus, always enjoyed seeing the pics of you/heather...

Phil Hind

December 2, 2007 12:13 PM

Wonderfull how safe is this?
Information filtering can not find new resources.

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In Blogspotting Senior Writer Stephen Baker and Associate Editor Heather Green take a look at how cutting-edge technologies are changing business and society. Whether its blogs or wikis, data crunching or data targeting, technology’s advances are reshaping the world that we live in.

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