Hoi,
While it is interesting to know what articles are popular, it serves no real
purpose except for curiosity. When the information does show what articles
are missed most often, you provide functionality that we do not have and
that has a really practical application.
When the people in India, Pakistan and Sri Lanka all at the same time have a
bout of cricket fever, it will show in the traffic numbers from these areas.
When a Pakistani cricketer is really popular on Wikipedia and he is missing
on the Tamil or Singhala Wikipedia it is the type of intelligence that makes
for an article that is likely to be really popular.
There is a big need for statistics that point to the articles that are
missing and, there are several approaches to such data. In my opinion given
the right take on this issue it is definitely a GSOC worthy project.
Thanks,
GerardM
On 6 April 2011 17:46, Andrew G. West <westand(a)cis.upenn.edu> wrote:
See also:
http://dammit.lt/wikistats/
I've parsed every one of these files (at hour granularity; grok.se
aggregates at day-level, I believe) since Jan. 2010 into a DB structure
indexed by page title. It takes up about 400GB of space, at the moment.
While a comprehensive measurement study over this data would be
interesting (long term trends, traffic spikes during cultural events,
etc.) -- the technical infrastructure is already in place. I doubt a
measurement study meets GSoC requirements.
Thanks, -AW
On 04/06/2011 11:05 AM, David Gerard wrote:
On 6 April 2011 16:02, Peng
Wan<buaajackson(a)gmail.com> wrote:
This is Peng Wan. I have submitted my application
to wikimedia of Gsoc.
My Project title is "Figuring out the most popular pages".
Does it do anything
http://stats.grok.se/ doesn't?
- d.
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Andrew G. West, Doctoral Student
Dept. of Computer and Information Science
University of Pennsylvania, Philadelphia PA
Website:
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