Artistic Twitter social network graphs by Gephi

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The above image contains almost 100.000 nodes, extracted from my Twitter relationships (transitively, of course, I’m not the Lady Gaga of  social networking, after all…! 😉

The above image was obtained by allowing Gephi to execute its Force Atlas 3D layout for about an hour, with two threads of execution.

The below image, of the same 100.000 node dataset, was obtained by allowing Gephi to execute overnight, with 200 threads running on my 4 core machine (which pretty much made my computer totally unresponsive during the processing…).  But the end result is amazing:

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Below, still the same dataset, but now a slight zoom-in, and node labels activated.  At this level of zoom, Gephi makes it very easy to analyze the network visually, it’s very easy to move around the large graph, panning and zooming etc –  the layout algoritm is very impressive – I’m definitely going to donate some $’s to the Gephi folks on their website, Gephi is an amazing piece of software!

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About swdevperestroika

High tech industry veteran, avid hacker reluctantly transformed to mgmt consultant.
This entry was posted in Big Data, development, software and tagged , , , , , . Bookmark the permalink.

2 Responses to Artistic Twitter social network graphs by Gephi

  1. Cool, but I have no idea what this means or how to interpret the graphs. Size of the nodes? Colors? Distance between nodes??

  2. The two colors indicate the ‘type’ of the node, Tweeter-id(blue) or hashtag(red). Size indicate the ‘eigenvector’, which is a metric of the importance of the node, basically how influencial that node is within the network. Distance has no formal semantics, it’s a function of the specific ayout algorithm.

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