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-Last year I did a
-[[http://lumberjaph.net/graph/2010/03/25/github-explorer.html][small
-exploration of GitHub]] to show the various communities using
-[[http://github.com][GitHub]] and how they work. I wanted to do it again
-this year, but I was lacking time and motivation to start over. A couple
-of months ago, I got a message from
-[[https://twitter.com/#!/mojombo][mojombo]] asking me if I was planning
-to do a new poster. This triggered the motivation to work on it again.
-
-This time I got help from [[https://twitter.com/#!/jacomyal][Alexis]] to
-provide you with an awesome tool: [[http://www.stargit.net][a real
-explorer of your graph]], but more on this later ;)
-
-And of course, [[http://labs.linkfluence.net][the poster]]. Feel free to
-print it yourself, the size of the poster is A1.
-
-** The data
-
-All the data are available! Last year I got some mails asking me for the
-dataset. So this time I asked first if I could release the
-[[http://maps.startigt.net/dump/github.tgz][data]] with the
-[[http://git.lumberjaph.net/p5-stargit.git/][code]] and the poster, and
-the anwser is yes! So if you're intereseted, you can download it.
-
-The data are stored in mongodb, so I provide the dump which you can
-easily use:
-
-#+BEGIN_SRC sh
-    % wget http://maps.stargit.net/dump/github.
-    % tar xvzf github.tgz
-    % cd github
-    % mongorestore -d github .
-#+END_SRC
-
-Now you can use mongodb to browse the imported database. There is 5
-collections: profiles / repositories / relations / contributions /
-edges.
-
-** Methodology
-
-Last year I did a simple "follower/following" graph. It was already
-interesting, but it was also /really/ too simple. This time I wanted to
-go deeper in the exploration.
-
-The various step to process all this data are:
-
--  using the GitHub API, fetch informations from the profiles.
--  when all the profiles are collected, informations about the
-   repositories are fetched. Only forked repositories are kept.
--  "simple" relations (followers/following) are kept and used later to
-   add weight to relations.
--  tag user with the main programming language they use. Using the
-   GitHub API, I was able to categorize ~40k profiles (about 1/3 of my
-   whole dataset).
--  using the GeoNames API, extract the name of the country the user is
-   in. This time, about 55k profiles were tagged.
--  fetch contributions for each repositories
--  compute a score between the author of the contribution and the owner
-   of the repo
--  add a weight to each edges, using the computed score and "+1" if the
-   developer follow the other developer
-
-For all the graphs, I've used the following colors for:
-
--  Ruby
--  JavaScript
--  Python
--  C (C++, C#)
--  Perl
--  PHP
--  JVM (Java, Clojure, Scala)
--  Lisp (Emacs Lisp, Common Lisp)
--  Other
-
-** Exploring
-
-Feel free to do your own analysis in the comments :) For each map,
-you'll find a PDF of the map, and the graph to explore using gephi (in
-GEXF or GDF format).
-
-*** but first, some numbers
-
-I've collected:
-
--  123 562 profiles
--  2 730 organizations
--  40 807 repositories
-
-This took me about a month in order to collect the data and to build the
-adapted tools.
-
-*** Accounts creations
-
-The following chart show the number of account created by month.
-"Everyone" means the total of accounts created. You can also see the
-numbers for each communities.
-
-On the "Everyone" graph, you can see a huge pick around April 2008,
-that's the date GitHub [[https://github.com/blog/40-we-launched][was
-launched]].
-
-For most of the communities, the number of created accounts start to
-decrease since 2010. I think the reason is that most of the developers
-from those communities are now on GitHub.
-
-#+BEGIN_HTML
-  <script language="javascript" type="text/javascript" src="/js/jquery.js"></script>
-#+END_HTML
-
-#+BEGIN_HTML
-  <script language="javascript" type="text/javascript" src="/js/jquery.flot.js"></script>
-#+END_HTML
-
-#+BEGIN_HTML
-  <div id="placeholder" style="width:800px;height:300px;">
-#+END_HTML
-
-#+BEGIN_HTML
-  </div>
-#+END_HTML
-
-#+BEGIN_HTML
-  <ul class="actions">
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  <li class="minibutton">
-#+END_HTML
-
-#+BEGIN_HTML
-  </li>
-#+END_HTML
-
-#+BEGIN_HTML
-  </ul>
-#+END_HTML
-
-#+BEGIN_HTML
-  <script type="text/javascript">
-  $(function () {
-      var options = {
-          lines: { show: true },
-          points: { show: true },
-          xaxis: { mode:"time" }
-      };
-      var data = [];
-      var placeholder = $("#placeholder");
-
-      $.plot(placeholder, data, options);
-
-      // fetch one series, adding to what we got
-      var alreadyFetched = {};
-
-      $("input.resetSeries").click(function() {
-          alreadyFetched = {};
-          data = [];
-          $.plot(placeholder, data, options);
-      });
-
-      $("input.fetchSeries").click(function () {
-          var button = $(this);
-
-          // find the URL in the link right next to us
-          var dataurl = button.attr('href');
-
-          // then fetch the data with jQuery
-          function onDataReceived(series) {
-              // extract the first coordinate pair so you can see that
-              // data is now an ordinary Javascript object
-              var firstcoordinate = '(' + series.data[0][0] + ', ' + series.data[0][1] + ')';
-
-              // let's add it to our current data
-              if (!alreadyFetched[series.label]) {
-                  alreadyFetched[series.label] = true;
-                  data.push(series);
-              }
-
-              // and plot all we got
-              $.plot(placeholder, data, options);
-           }
-
-          $.ajax({
-              url: dataurl,
-              method: 'GET',
-              dataType: 'json',
-              success: onDataReceived
-          });
-      });
-  });
-  </script>
-#+END_HTML
-
-*** Languages
-
-(Keep in mind that these numbers are coming from the profiles I was able
-to tag, roughly 40k)
-
--  Ruby: 10046 (28%)
--  Python: 5403 (15%)
--  JavaScript: 5282 (15%) (JavaScript + CoffeeScript)
--  C: 5093 (14%) (C, C++, C#)
--  PHP: 3933 (11%)
--  JVM: 3790 (10%) (Java, Clojure, Scala, Groovy)
--  Perl: 1215 (3%)
--  Lisp: 348 (0%) (Emacs Lisp, Common Lisp)
-
-Those numbers doesn't really match "what GitHub
-gave":https://github.com/languages, but it could be explained by the way
-I've selected my users.
-
-*** Country
-
--  United States: 19861 (36%)
--  United Kingdom: 3533 (6%)
--  Germany: 3009 (5%)
--  Canada: 2657 (4%)
--  Brazil: 2454 (4%)
--  France: 1833 (3%)
--  Japan: 1799 (3%)
--  Russia: 1604 (2%)
--  Australia: 1441 (2%)
--  China: 1159 (2%)
-
-The United States are still the main country represented on GitHub, no
-suprise here.
-
-If you are interested in the "geography" of Open Source, you should read
-these two articles: [[http://takhteyev.org/dissertation/][Coding
-Places]] and
-[[http://takhteyev.org/papers/Takhteyev-Hilts-2010.pdf][Investigating
-the Geography of Open Source Software through GitHub]].
-
-*** companies
-
-Looking at the "company" field on user's profile, here are some stats
-about which companies has employees using GitHub:
-
--  ThoughtWorks: 102
--  Google: 66
--  Mozilla: 65
--  Yahoo!: 65
--  Red Hat: 64
--  Globo.com: 55
--  Twitter: 53
--  Facebook: 45
--  Yandex: 43
--  Intridea: 34
--  Microsoft: 33
--  Engine Yard: 32
--  Pivotal Labs: 29
--  MIT: 28
--  Rackspace: 27
--  IBM: 24
--  Caelum: 23
--  Novell: 22
--  GitHub: 22
--  VMware: 22
-
-I didn't knew the first company, ThoughtWorks, and I was expecting to
-see FaceBook or Twitter as the company with most developpers on GitHub.
-It's also interesting to see Yandex here.
-
-** Global graph (1628 nodes, 9826 edges)
-
-([download PDF](http://maps.stargit.net/global/global.pdf, "download
-GDF":http://maps.stargit.net/global/global.gdf))
-
-The main difference with last year, is the android / modders community.
-They're developing mostly in C and Java. The poster has been created
-from this map.
-
-** Ruby (1968 nodes, 9662 edges)
-
-([[http://maps.stargit.net/ruby/ruby.pdf][download PDF]],
-[[http://maps.stargit.net/ruby/ruby.gdf][download GDF]],
-[[http://maps.stargit.net/ruby/ruby.gexf][download GEXF]])
-
-This is still the main community on GitHub, even if JavaScript is now
-[[https://github.com/languages/JavaScript][the most popular language]].
-This graph is really dense, it's not easy to read, since there is no
-real cluster in this one.
-
-** Python (1062 nodes, 2631 edges)
-
-([[http://maps.stargit.net/python/python.pdf][download PDF]],
-[[http://maps.stargit.net/python/python.gdf][download GDF]])
-
-Here we have some clusters. I'm not familiar with the Python community,
-so I can't really give any insight.
-
-** Perl (608 nodes, 2967 edges)
-
-([[http://maps.stargit.net/perl/perl.pdf][download PDF]],
-[[http://maps.stargit.net/perl/perl.gdf][download GDF]],
-[[http://maps.stargit.net/perl/perl.gexf][download GEXF]])
-
-I really like this graph since it show (in my opinion) one of the real
-strength of this community: everybody works with everybody. People
-working on a webframework will collaborate with people working on Moose,
-or an ORM, or other tools. It shows that in this community, people are
-competent in more than one field.
-
-The Perl community is about the same size as last year. However, we can
-extract the following informations:
-
--  the Japaneses Perl Hackers are still a cluster by themselves
--  [[http://github.com/miyagawa][miyagawa]] is still the glue between
-   the Japanese community and the "rest of the world"
--  other leaders are: Florian Ragwitz
-   ([[http://github.com/rafl][rafl]]), Andy Amstrong
-   ([[http://github.com/andya][AndyA]]), Dave Rolsky
-   ([[http://github.com/autarch][autarch]])
--  some clusters exists for Moose and Dancer.
-
-As we can see on the previous charts, the number of created accounts for
-the Perl developpers is stalling.
-
-** United States (2646 nodes, 11344 edges)
-
-([[http://maps.startgit.net/unitedstates/unitedstates.pdf][download
-PDF]],
-[[http://maps.startgit.net/unitedstates/unitedstates.gdf][download
-GDF]],
-[[http://maps.startgit.net/unitedstates/unitedstates.gexf][download
-GEXF]])
-
-This one is really nice. We can clearly see all the communities. There
-is something interesting:
-
--  C and Ruby are on the opposite side (C on the left, Ruby on the
-   right)
--  Python and Perl are also opposed (Perl at the bottom and Python at
-   the top)
-
-I'll let you take some conclusion by yourself on this one ;)
-
-** France (706 nodes, 1059 edges)
-
-([[http://maps.stargit.net/france/france.pdf][download PDF]],
-[[http://maps.stargit.net/france/france.gdf][download GDF]],
-[[http://maps.stargit.net/france/france.gexf][download GEXF]])
-
-We have a lot of small clusters on this one, and some very big
-authorities.
-
-** Japan (464 nodes, 1091 edges)
-
-([[http://maps.stargit.net/japan/japan.pdf][download PDF]],
-[[http://maps.stargit.net/japan/japan.gdf][download GDF]],
-[[http://maps.stargit.net/japan/japan.gexf][download GEXF]])
-
-There is three dominants clusters on this one:
-
--  Ruby
--  Perl
--  C
-
-The Ruby and Perl one are well connected. There is a lot of japanese
-hacker on CPAN using both languages.
-
-** StarGit
-
-[[http://stargit.net][StarGit]] is a great tool we built with Alexis to
-let you explore *your* community on GitHub. You can read more about the
-application on
-[[http://ofnodesandedges.com/2011/06/20/stargit.html][Alexis' blog]].
-
-It's hosted on [[http://dotcloud.com][dotcloud]] (I'm still amazed at
-how easy it was to deploy the code ...), using the Perl
-[[http://perldancer.org][Dancer web framework]], MongoDB to store the
-data, and Redis to do some caching.
-
-** Credits
-
-I would like to thanks the whole GitHub team for being interested in the
-previous poster and to ask another one this year :)
-
-A *huge* thanks to Alexis for his help on building the awesome StarGit.
-Another big thanks to Antonin for his work on the poster.