http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwikiversity
Awesome. Can we have this on en Wikipedia?
Steve
On 8/26/06, Leon Weber leon.weber@leonweber.de wrote:
Hi all, I've finished WikiCharts now. A short description can be found here:
http://meta.wikimedia.org/wiki/WikiCharts
As described there: If you'd like to have WikiCharts for your wiki, just contact me in the IRC (my nick is LeonWP).
-- Leon _______________________________________________ Wikipedia-l mailing list Wikipedia-l@Wikimedia.org http://mail.wikipedia.org/mailman/listinfo/wikipedia-l
Steve Bennett schrieb:
http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwikiversity
Awesome. Can we have this on en Wikipedia?
Sure. IRC? Leon
Steve Bennett schrieb:
http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwikiversity
Awesome. Can we have this on en Wikipedia?
Okay, done. http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwiki
Steve
On 8/26/06, Leon Weber leon.weber@leonweber.de wrote:
Hi all, I've finished WikiCharts now. A short description can be found here:
http://meta.wikimedia.org/wiki/WikiCharts
As described there: If you'd like to have WikiCharts for your wiki, just contact me in the IRC (my nick is LeonWP).
-- Leon
--Leon
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Moin,
On Saturday 26 August 2006 17:24, Leon Weber wrote:
Steve Bennett schrieb:
http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwikiversity
Awesome. Can we have this on en Wikipedia?
Okay, done. http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwiki
Steve
On 8/26/06, Leon Weber leon.weber@leonweber.de wrote:
Hi all, I've finished WikiCharts now. A short description can be found here:
Cool! I wonder tho if it would be worth to shorten the text send and stored in the log a bit for the multi-million hit cases:
[25/Aug/2006:10:54:35 +0000] "GET /index.png?ns=User&title=Anneke%20Wolf&factor=601&wiki=dewiki HTTP/1.1"
Could be:
[25/Aug/2006:10:54:35 +0000] "GET /i.png?ns=User&t=Anneke%20Wolf&f=601&w=de 1.1"
In addition, a high factor is nec. for high-hit sites, but makes things worse for low-hit sites/articles (due to high error margin). I am not sure how to make that dynamical, tho.
Best wishes,
Tels
- -- Signed on Sat Aug 26 21:07:10 2006 with key 0x93B84C15. Visit my photo gallery at http://bloodgate.com/photos/ PGP key on http://bloodgate.com/tels.asc or per email.
"Blogebrity: Wow, guess what this one stands for? Too easy. Hey, anyone can do it: take a blogger who's a chef, and you get: BLEF. A blogger who's a dentist? BENTIST. A female blogger with an itch? You guessed it: a BITCH." -- maddox from xmission
Could this store data for *all* articles? In particular, it could come in very handy for the question of what page to redirect an ambiguous term to. Of course, you would get down to very low numbers at a certain point of obscurity, but those could build up to reasonable significance over enough time even for quite minor articles.
By the way, what algorithm are you using to determine the +/- figures, out of curiosity?
On 8/27/06, Simetrical Simetrical+wikitech@gmail.com wrote:
Could this store data for *all* articles? In particular, it could come in very handy for the question of what page to redirect an ambiguous term to. Of course, you would get down to very low numbers
It'd be better to have specific data for that. Just because page X is more popular than Y doesn't mean that people were more likely looking for X than Y when they typed in Z.
Incidentally the results, while still very tentative, are quite amusing: In the top 10 (not including the main page), we have List of Gay porn stars, Sexual intercourse, Oral sex and Anal sex. Everything else is pop culture except the topical Pluto and Kuiper belt.
*Wonders if we could get the "magic factor" reduced even further from 1000*
Steve
On 8/27/06, Steve Bennett stevage@gmail.com wrote:
It'd be better to have specific data for that. Just because page X is more popular than Y doesn't mean that people were more likely looking for X than Y when they typed in Z.
True -- if anyone wants to write something to gather more specific data. (You'd have to track people across their session: what they typed, then what they clicked after that, and whether it corresponded to a disambiguation page.)
http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwikiversity
Awesome. Can we have this on en Wikipedia?
Okay, done. http://tools.wikimedia.de/~leon/stats/wikicharts/?wiki=enwiki
--Leon
Maybe wikicharts already has this (if it does, I apologize), and maybe it doesn't, but I occasionally enjoy glancing at Google's Zeitgeist page ( http://www.google.com/press/zeitgeist.html ) to get a sense of what other people are clicking (i.e. rather than an absolute number of views, it shows what's topical, presumably based on a formula that combines of number of page views together with a percentage increase, to see filter for things that are both topical and of general interest). Would something like this maybe be possible for wikicharts, so as to get a weekly "Wikipedia Zeitgeist" to see what's hot?
All the best, Nick.
On 8/28/06, Nick Jenkins nickpj@gmail.com wrote:
Maybe wikicharts already has this (if it does, I apologize), and maybe it doesn't, but I occasionally enjoy glancing at Google's Zeitgeist page ( http://www.google.com/press/zeitgeist.html ) to get a sense of what other people are clicking (i.e. rather than an absolute number of views, it shows what's topical, presumably based on a formula that combines of number of page views together with a percentage increase, to see filter for things that are both topical and of general interest). Would something like this maybe be possible for wikicharts, so as to get a weekly "Wikipedia Zeitgeist" to see what's hot?
I was thinking that too. Probably easy to do, simply by analysing the logs for the last week rather than all time, or whatever.
(notices that United States has finally made it into the top ten, overtaking List of gay porn stars...)
Steve
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