I used Python and igraph to create the graph and exported it to GraphML which Gephi can import. Here’s the resulting GraphML file if you are interested.

I also used igraph to export PNG and SVG versions.

The nodes in the graph are Twitter users. The size of the node is relative to the number of new Tweets with the #can30 hashtag. By ‘new’ tweets I mean not re-Tweets. The edges represent re-Tweets and the width of the edges are relative to how many times the source user re-Tweeted the destination.

Based on the graph, Canada3Forum is the largest source of new Tweets followed by tobidh and there are lots of users re-Tweeting Canada3Forum’s messages.

Canada 3.0 on Twitter

http://www.linuxjournal.com/content/why-internet-infrastructure-need-be-fields-study

http://hakpaksak.wordpress.com/2008/09/22/the-etymology-of-infrastructure-and-the-infrastructure-of-the-internet/

http://lafayetteprofiber.com/FactCheck/OpenSystems.html

http://news.cnet.com/Fixing-our-fraying-Internet-infrastructure/2010-1034_3-6212819.html

http://www.interesting-people.org/archives/interesting-people/200904/msg00168.html

http://www.interesting-people.org/archives/interesting-people/200904/msg00175.html

http://cis471.blogspot.com/2009/04/why-is-connectivty-in-stockholm-so-much.html

http://www.linuxjournal.com/xstatic/suitwatch/2006/suitwatch19.html

http://publius.cc/2008/05/16/doc-searls-framing-the-net

http://free-fiber-to-the-home.blogspot.com/

http://communityfiber.org/cringely.html

http://www.linuxjournal.com/article/10033