On Tue, Mar 10, 2009 at 8:21 AM, Dmitry Lizorkin <lizorkin(a)ispras.ru> wrote:
Hello!
We recently studied the properties of the English Wikipedia graph and
observed that:
(1) the graph consists of dense subgraphs (socalled "graph communities")
that are in turn less densely connected to each other;
(2) Wikipedia articles falling into the same community exhibit more
semantic similarity to each other than randomly selected articles.
Encouraged by the above observations, i computed the community hierarchy for
the English Wikipedia:
http://modis.ispras.ru/wikipedia/
The hierarchy shows the grouping of similar Wikipedia articles into
communities, based on purely Wikipedia link information, and reflects the
link structure of the Wikipedia graph.
In your opinion, could such data organization be helpful for navigation and
finding related information in Wikipedia?
Your feedback is welcome!
Dmitry
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Sounds like it could be used as an automated 'See also' generator -
one could write a bot that for each article, generates a list of 'top
10 related links', check to see whether they are all in the article
already, and add any missing ones into the See also section (or create
a new one).
Even more work would be on-the-fly generation of related links - so
it'd be akin to Everything2's soft links (a feature I miss dearly):
https://secure.wikimedia.org/wikipedia/en/wiki/Everything2#Soft_links
--
gwern