The same idea could apply to the articles Wikipedia. Instead of taking "in the same film" as the relation, you can take "is linked to by". We’ll call the "Kevin Bacon number" from one article to another the "distance" between them. It’s then possible to work out the "closeness" of an article in Wikipedia as its average distance to any other article. I wanted to find the centre of wikipedia, that is, the article that is closest to all other articles (has minimum closeness).

www.netsoc.tcd.ie/~mu/wiki

• R graphical manuals (this is awesome page as there are all help pages of all packages on CRAN and probably even more and all graphics examples are displayed! - more than 8000 images!)

bg9.imslab.co.jp/Rhelp/

This is a very nice addition to already existing R graph and movies galleries

• R Graph Gallery

addictedtor.free.fr/graphiques/

• R Movies Gallery

addictedtor.free.fr/movies/

Changes: A plug-in to show spelling alternation of the search phrase was added. A bug in the search server was fixed

estraier.sf.net

Every hour, 10x10 scans the RSS feeds of several leading international news sources, and performs an elaborate process of weighted linguistic analysis on the text contained in their top news stories. After this process, conclusions are automatically drawn about the hour’s most important words. The top 100 words are chosen, along with 100 corresponding images, culled from the source news stories. At the end of each day, month, and year, 10x10 looks back through its archives to conclude the top 100 words for the given time period. In this way, a constantly evolving record of our world is formed, based on prominent world events, without any human input.

link

Changes: The search server was enhanced. The logging format was changed. Accuracy of document clustering was improved. The building configuration was enhanced, and now Mac OS X 10.3 is supported.

link

Changes: Many things have changed since 1.0. The R language has acquired namespaces, exception handling constructs, formal methods and classes, much improved garbage collection, generalized I/O via connection objects, and considerable improvements in the graphics area. The user workspace has been reorganized, and so has the set of packages that ship with R. Several "recommended packages" deemed indispensable in a statistical system are bundled. In addition, there has been a large number of more specific new functions, tweaks, and bugfixes.

www.r-project.org

Sven C. Koehler, our hard-coding dataminer has sent me an email while his code was probably exploring the DNA of some beauty. I wonder whether it was the beauty the root-team uses in their logo? Hey, just because of the logo, one ought to give root a try.

 What I was impressed about:
 http://root.cern.ch/root/Mission.html
 ``We started the ROOT project in the context of the NA49 experiment at
 CERN. NA49 generates an impressive amount of data, about 10 Terabytes
 of raw data per run.'';

 ``Thanks to the builtin CINT C++ interpreter the command language,
  the scripting, or macro, language and the programming language are
  all C++. The interpreter allows for fast prototyping of the macros
  since it removes the time consuming compile/link cycle. It also
  provides a good environment to learn C++. If more performance is
  needed the interactively developed macros can be compiled using a
  C++ compiler.'';

 http://root.cern.ch/root/Architecture.html
 ``The backbone of the ROOT architecture is a layered class
 hierarchy with, currently, around 310 classes grouped in about 24
 frameworks divided in 14 categories. This hierarchy is organized in
 a mostly single-rooted class library, that is, most of the classes
 inherit from a common base class TObject. While this organization
 is not very popular in C++, it has proven to be well suited for our
 needs (and indeed for almost all successful class libraries: Java,
 Smalltalk, MFC, etc)''.