***** To join INSNA, visit http://www.insna.org *****
Dear Derek,
you may want to check out our Wiki Explorator (http://rubyforge.org/projects/wiki-explorator/), a set of Ruby classes to explore any MediaWiki, as long as you got access to the underlying database (e.g., a local dump of Wikipedia). The open-source software integrates with R (igraph, statnet), Gnuplot, and Graphviz. It allows for a number of network views on wikis, for example, (1) coauthorship, (2) hyperlink, (3) copages, and (4) two-mode page-user graphs, all of which can be exported to a variety of formats in case you don't want to use our software for the analysis. In addition to the open-source software, we provide the Wiki Explorator as an online tool (http://www.kinf.wiai.uni-bamberg.de/mwstat/), which provides you with a quick report of your wiki in question.
Best regards,
Steffen
-
Dr. Steffen Blaschke
Assistant Professor at the Chair of Organization and Management
Faculty of Business, Economics, and Social Sciences
University of Hamburg
Von-Melle-Park 5
20146 Hamburg, Germany
Office: +49 (40) 42838 4676
Cell: +49 (178) 3333625
Weblog: http://lou.econ.uni-hamburg.de
Twitter: http://twitter.com/blaschke
SSRN Working Papers: http://ssrn.com/abstract=1512471 and http://ssrn.com/abstract=1512498
On Oct 10, 2010, at 3:05 AM, Derek Hansen wrote:
> ***** To join INSNA, visit http://www.insna.org *****
>
> Colleagues,
>
> I have a student building a tool that will import network data from
> Wikipedia (and other MediaWiki sites) into NodeXL. NodeXL already has
> other importers that grab network data (and other relevant statistics)
> from Twitter, Email, YouTube, and Flickr, but nothing yet for wikis.
> Our question is this: What networks should we allow people to import
> and what other statistics about the Edges or Vertices should we
> capture?
>
> Here are some examples:
> a) The user-to-wiki page bimodal network that links a person to a page
> when they've edited the page
> b) The derivative user-to-user network based on pages they've co-edited
> c) The derivative page-to-page network based on shared users who've
> edited both pages
>
> We haven't focused on the page-to-page hyperlink network, since
> existing tools such as VOSON can capture those. Other ideas and
> thoughts would be welcome.
>
> Also, we're always looking for people to build data importers from new
> social media sites, so let us know if you or a student are willing to
> do so.
>
> Derek Hansen
> Assistant Professor
> University of Maryland
> College of Information Studies
>
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