When it comes to understanding relationships between multiple language
editions, I think that Bao et al.'s work on Omnipedia has a bunch of great
insights for how to think about and measure relationships between content
in different editions.
Bao, P., Hecht, B., Carton, S., Quaderi, M., Horn, M.,
I agree that this is an interesting question. We have been working on a few
related questions, and I have a few thoughts.
First, inequality of participation can have many causes. In the new
communities that I have been looking at, high inequality is often the sign
of a dedicated core of
Hi Abel,
We have been working on a paper that looks at wiki survival on Wikia. We
ended up using a similar measure to Zhu et al. We are more interested in
when the community around a wiki "dies", and so we measure death as a
30-day period in which fewer than two people edit the wiki. I think that
Mako Hill and Aaron Shaw wrote a paper which combined a 2008 WMF survey
with Pew Research to try to find a less biased estimation of the Wikipedia
gender gap. Their paper is titled The Wikipedia Gender Gap Revisited:
Characterizing Survey Response Bias with Propensity Score Estimation, and
is at
On Wed, Sep 5, 2012 at 7:43 PM, Jeremy Foote foo...@purdue.edu
foo...@purdue.edu wrote:
I am a brand new Master's student at Purdue. For my Social Network Analysis
class, I'm thinking about doing a project about whether a Wikipedian's
centrality in a network can be used as a predictor
