On Thu, Dec 3, 2009 at 3:29 PM, Jeff Stuckman <stuckman@umd.edu> wrote:
Hello everyone,

At this year's WikiSym, there was an interesting discussion on wiki
measurement and evaluation. Wiki research often involves the measurement of
pages to identify various editing patterns, such as highly concentrated
editing activity, the development of cliques, or the emergence of highly
active and inactive users.

Because some of the quantities that researchers desire to measure (such as
"coordination", "concentration", and "quality") are necessarily vague,
choosing a formula or metric that acts as a surrogate for the desired
measurement requires some thought and discretion.

Because I was not able to find an existing compilation of metrics for wikis,
I created several pages outlining some wiki usage patterns and the metrics
that could identify them. Although the pages are not specific to Wikipedia
(they were written with corporate wiki practitioners in mind), I think they
would also be of interest to the Wikipedia research community. The pages can
be found here:
http://www.wikisym.org/ws2009/tiki-index.php?page=Corporate+Wiki+Metrics

I invite all interested researchers to add more metrics to the pages, or use
the pages as a reference. Also, if there are any suggestions for a more
appropriate wiki to host this information (other than the WikiSym '09 wiki)
please let me know. (I do not know of any wikis that act as a repository for
wiki research information -- does anybody know of one?)

Jeff

The best known predictor of quality is featured article status. Next up is a readability metric such as the Automated Readability Index. See my website for my research into quality. As far as I know I've done the most thorough analyses of predictors of quality, although I haven't been keeping completely up. The later paper is the more interesting in terms of predictors.

http://grey.colorado.edu/mingus

Cheers,
Brian