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.