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:

Not sure I want to throw the API open to the public (the grok.se folks, and others, have a fine service for casual experimentation). However, I am willing to share the data with interested researchers who need to do some serious crunching (I have a Java API and could distribute database credentials on a per-case basis). I'll note that I only parse English Wikipedia at this time. I've found it useful in my anti-vandalism research (i.e., "given that edit survived between time [w] and [x] on article [y], we estimate it received [z] views"). Thanks, -AW On 04/06/2011 08:44 PM, MZMcBride wrote: -- Andrew G. West, Doctoral Student Dept. of Computer and Information Science University of Pennsylvania, Philadelphia PA Website: http://www.cis.upenn.edu/~westand