Hi Jeremy,
there are quite a few papers which have done social network analysis
of (mostly the English) Wikipedia; e.g. in the "Wikimedia Research
Newsletter" we covered two which looked at centrality in different
contexts:
https://meta.wikimedia.org/wiki/Research:Newsletter/2012-06-25#Briefly
("'Central' users produce higher quality")
https://meta.wikimedia.org/wiki/Research:Newsletter/2011-09-26#How_social_t…
("Closeness, PageRank, and eigenvector centrality were found to have
the largest regression coefficients in predicting the outcome of an
RfA")
On Wed, Sep 5, 2012 at 12:43 PM, Jeremy Foote <foote0(a)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 of future participation.
I've spent the afternoon looking for relevant literature. I found the very
interesting
"Validity Issues in the Use of Social Network Analysis with Digital Trace
Data" by Howison, Wiggins, and Crowston
and
"Network analysis of collaboration structure in Wikipedia" by Brandes et al.
I'm wondering if there are other papers about how to translate Wikipedia
into a network structure, or even more specifically relating to node-level
centrality measures and participation measures.
Very many thanks,
Jeremy Foote
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