I used NodeXL to retrieve the data – a search for tweets, people, and the links between them. I then visualized the data in Gephi, where colour = community (per Gephi’s modularity routine) and sized the nodes (individual Twitterers) using Pagerank, on the premise that this was a directed graph and one should follow the links (although there was little difference with Betweeness Centrality. Major players are still major, either way).
I found 233 individuals, linked together by 4435 edges. Some general stats on this directed network:
|Top 10 Vertices, Ranked by Betweenness Centrality||Betweenness Centrality|
|Top Replied-To in Entire Graph||Entire Graph Count|
|Top Mentioned in Entire Graph||Entire Graph Count|
|Top URLs in Tweet in Entire Graph||Entire Graph Count|
|Top Hashtags in Tweet in Entire Graph||Entire Graph Count|
And now the visualization. You can download the zoomable pdf here.
As I look at the modularity in this graph, at first blush, you can see quite a North America / European divide, with various satellite outposts. This could be of course because there’s a THATCamp Paris coming down the pipe (lots of French in the tweets).