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-Last year I did a [small exploration of GitHub](http://lumberjaph.net/graph/2010/03/25/github-explorer.html) to show the various communities using [GitHub](http://github.com) 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 [mojombo](https://twitter.com/#!/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 [Alexis](https://twitter.com/#!/jacomyal) to provide you with an awesome tool: [a real explorer of your graph](http://www.stargit.net), but more on this later ;)
-
-<img class="img_center" src="/imgs/stargit.webp" title="StarGit" alt="stargit" />
-
-And of course, [the poster](http://labs.linkfluence.net). Feel free to print it yourself, the size of the poster is A1.
-
-<img class="img_center" src="/imgs/github-poster-v2.webp" title="GitHub Poster" alt="GitHub Poster" />
-
-## 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 [data](http://maps.startigt.net/dump/github.tgz) with the [code](http://git.lumberjaph.net/p5-stargit.git/) 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:
-
-```sh
-% wget http://maps.stargit.net/dump/github.
-% tar xvzf github.tgz
-% cd github
-% mongorestore -d github .
-```
-
-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:
-
-* <span style="color:#C40C0F">Ruby</span>
-* <span style="color:#4C9E97">JavaScript</span>
-* <span style="color:#3F9E16">Python</span>
-* <span style="color:#8431C4">C (C++, C#)</span>
-* <span style="color:#29519E">Perl</span>
-* <span style="color:#9D61C4">PHP</span>
-* <span style="color:#C4B646">JVM (Java, Clojure, Scala)</span>
-* <span style="color:#90C480">Lisp (Emacs Lisp, Common Lisp)</span>
-* <span style="color:#9C9E9C">Other</span>
-
-## 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 [was launched](https://github.com/blog/40-we-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.
-
-<script language="javascript" type="text/javascript" src="/js/jquery.js"></script>
-<script language="javascript" type="text/javascript" src="/js/jquery.flot.js"></script>
-
-<div id="placeholder" style="width:800px;height:300px;"></div>
-
-<ul class="actions">
-  <li class="minibutton"><input class="fetchSeries" type="button" value="Everyone" href="/json/global.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="C" href="/json/C.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="JVM" href="/json/JVM.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="JS" href="/json/JavaScript.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="Lisp" href="/json/Lisp.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="Perl" href="/json/Perl.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="PHP" href="/json/PHP.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="Python" href="/json/Python.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="Ruby" href="/json/Ruby.json"></li>
-  <li class="minibutton"><input class="fetchSeries" type="button" value="Uncategorized users" href="/json/Other.json"></li>
-  <li class="minibutton"><input class="resetSeries" type="button" value="reset"></li>
-</ul>
-
-<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>
-
-### 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: [Coding Places](http://takhteyev.org/dissertation/) and [Investigating the Geography of Open Source Software through GitHub](http://takhteyev.org/papers/Takhteyev-Hilts-2010.pdf).
-
-### 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)
-
-([download PDF](http://maps.stargit.net/ruby/ruby.pdf), [download GDF](http://maps.stargit.net/ruby/ruby.gdf), [download GEXF](http://maps.stargit.net/ruby/ruby.gexf))
-
-This is still the main community on GitHub, even if JavaScript is now [the most popular language](https://github.com/languages/JavaScript). 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)
-
-([download PDF](http://maps.stargit.net/python/python.pdf), [download GDF](http://maps.stargit.net/python/python.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)
-
-([download PDF](http://maps.stargit.net/perl/perl.pdf), [download GDF](http://maps.stargit.net/perl/perl.gdf), [download GEXF](http://maps.stargit.net/perl/perl.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
-* [miyagawa](http://github.com/miyagawa) is still the glue between the Japanese community and the "rest of the world"
-* other leaders are: Florian Ragwitz ([rafl](http://github.com/rafl)), Andy Amstrong ([AndyA](http://github.com/andya)), Dave Rolsky ([autarch](http://github.com/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)
-
-([download PDF](http://maps.startgit.net/unitedstates/unitedstates.pdf), [download GDF](http://maps.startgit.net/unitedstates/unitedstates.gdf), [download GEXF](http://maps.startgit.net/unitedstates/unitedstates.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)
-
-([download PDF](http://maps.stargit.net/france/france.pdf), [download GDF](http://maps.stargit.net/france/france.gdf), [download GEXF](http://maps.stargit.net/france/france.gexf))
-
-We have a lot of small clusters on this one, and some very big authorities.
-
-## Japan (464 nodes, 1091 edges)
-
-([download PDF](http://maps.stargit.net/japan/japan.pdf), [download GDF](http://maps.stargit.net/japan/japan.gdf), [download GEXF](http://maps.stargit.net/japan/japan.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
-
-[StarGit](http://stargit.net) is a great tool we built with Alexis to let you explore **your** community on GitHub. You can read more about the application on [Alexis' blog](http://ofnodesandedges.com/2011/06/20/stargit.html).
-
-It's hosted on [dotcloud](http://dotcloud.com) (I'm still amazed at how easy it was to deploy the code ...), using the Perl [Dancer web framework](http://perldancer.org), 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.