I would also point you toward the (tangentially) related work by Dr. James Fowler at UCSD - he's done similar work on predictive analysis on Facebook.
http://jhfowler.ucsd.edu/ pb ___________________ Philippe Beaudette Director, Community Advocacy Wikimedia Foundation, Inc. 415-839-6885, x 6643 [email protected] On Wed, Sep 5, 2012 at 1:09 PM, Dario Taraborelli < [email protected]> wrote: > you should also check out: > > Laniado, David, Riccardo Tasso, Y. Volkovich, and Andreas Kaltenbrunner. > When the Wikipedians talk: network and tree structure of Wikipedia > discussion pages. In Proceedings of the Fifth International AAAI Conference > on Weblogs and Social Media (ICWSM '11), 177-184, 2011. > http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/viewPDFInterstitial/2764/3301 > > summarized here: > https://meta.wikimedia.org/wiki/Research:Newsletter/2011-07-25#The_anatomy_of_a_Wikipedia_talk_page > > Dario > > On Sep 5, 2012, at 1:05 PM, Brian Keegan wrote: > > > There's a good amount of research > > > > Jullien 2012 has an excellent (although by no means exhaustive) lit > review of extant Wikipedia research including many network analysis papers: > > http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2053597 > > > > Welser, et al. 2011 use network analysis approaches to identify and > differentiate users social roles: > > > http://www.connectedaction.net/wp-content/uploads/2011/04/Welser.Cosley.plus_.Wiki_.Roles_.pdf > > > > Antin, et al. 2012 use some centrality-like metrics to measure the > diversity of editing behavior: > > http://faculty.poly.edu/~onov/Antin_Chehsire_Nov_WPP_CSCW_2012.pdf > > > > Kane 2009 on how network position influences article quality: > > http://www.profkane.com/uploads/7/9/1/3/79137/kane_2009_ocisa.pdf > > > > Kane, et al. 2012 on how membership turnover/retention influences > article quality: > > > http://www.samransbotham.com/sites/default/files/RansbothamKane_WikiDemotion_2012_MISQ.pdf > > > > <shameless self promotion> > > Descriptive analysis of Wikipedia's response and networks to the 2011 > Tohoku earthquake and tsunami: > > http://www.brianckeegan.com/papers/WikiSym11.pdf > > > > Developing a statistical model of whether Wikipedia collaborations as a > bipartite network of editors and authors are more strongly influenced by > features of editors or features of articles: > > http://www.brianckeegan.com/papers/CSCW12.pdf > > > > Developing a unipartite network of Wikipedia collaborations as "document > passing" network among editors on a single article: > > http://www.brianckeegan.com/papers/WikiSym12.pdf > > > > > > On Wed, Sep 5, 2012 at 7:43 PM, Jeremy Foote <[email protected]> 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 > > > > _______________________________________________ > > Wiki-research-l mailing list > > [email protected] > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > > > > > > > > > -- > > Brian C. Keegan > > Ph.D. Student - Media, Technology, & Society > > School of Communication, Northwestern University > > > > Science of Networks in Communities, Laboratory for Collaborative > Technology > > _______________________________________________ > > Wiki-research-l mailing list > > [email protected] > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > > _______________________________________________ > Wiki-research-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >
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