Fascinating, Johan. Can you describe the ranking a bit? It's very interesting to see that the Chernobyl disaster had a 388% increase, but I don't understand why it would be in a top 10 list among others whose upticks were in the thousands and millions of percentage points. I do see on your "About Wikitrends" page that "Ranking is a measurement based on both absolute and relative increase of page views." I would suggest that having that statement (perhaps with a tiny bit more detail) in the header for the Wikitrends page itself (above the ranked articles) would be very helpful; and that on the "About" page, it would be nice to have a more detailed explanation of how the articles are ranked. Regardless, a very interesting tool, highlighting a revealing collection of articles people are reading. -Pete On Mar 21, 2011, at 10:04 AM, Johan Gunnarsson wrote: Pete Forsyth peteforsyth(a)gmail.com 503-383-9454 mobile

Source Internet : Gaddafi ordered bomb on PAN AM Flight 103, exploded in Dec. 1988 over Scotland, 270 died including Americans. This was admitted by Libyan Justice Minister. Libyan found guilty, jailed. Allied or coalition bombing now of Libya is payback time. ________________________________ From: Johan Gunnarsson &lt;johan.gunnarsson(a)gmail.com&gt; To: Wikipedia mailing list &lt;wikipedia-l(a)lists.wikimedia.org&gt; Sent: Mon, March 21, 2011 11:51:08 AM Subject: Re: [Wikipedia-l] Top topics Thanks for the comments. I'll consider making it more clear how it really works. For the uptrends-this-week I linked below the algorithm is like this: score = abs(h2 - h1) * log((h2 + 1) / (h1 + 1)); h2 = hits from now to 1 week ago h1 = (hits from 1 week ago to 3 weeks ago) / 2 The other time spans work similarly. Sounds easy, but the dataset is _huge_. 3 months of data is around 500GB uncompressed. The motivation is that I think using just score = h2 - h1 or score = h2 / h1 will filter out many interesting increases. With h2 - h1 you'll miss pages going from for example 1 000 to 20 000, since they'll drown in the daily fluctuations of the >100k hits pages. With h2 / h1 it's the opposite; pages going from 100k to 500k will drown the daily fluctuation of the <1k pages. The logarithm is there to attenuate newly created pages. On Mon, Mar 21, 2011 at 18:12, Pete Forsyth &lt;peteforsyth(a)gmail.com&gt; wrote: _______________________________________________ Wikipedia-l mailing list Wikipedia-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikipedia-l