Dynamic networks visualisations

Hail to the Gephi!

Dynamic networks visualisations in Gephi provide a nice leverage in analysing network data.

This is an example of tweet mentions of Poroshenko (Ukrainian poser-tycoon president) for April 10 – April 16. The data were collected with Socioviz.  TMs are not very useful per se. No friendship connection, unobserved variables, endogeneity and all other nightmares of a researcher.

However, dynamic analysis may do a trick. I invite all to read this brilliant paper by Moody and McFarland about it.

Here is a mere 20 second video of the Poroshenko’s mentions. There are almost 8,000 nodes, so the graph is a bit messy. But you still can see how cliques emerge over time.





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