Visualizing THATCamp

THATCamps are quite popular. I’m throwing one myself. But who are the people talking about them on Twitter? What does the THATCamp look like on the Twitterverse?

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
thatcamp 10493.93299
marindacos 3381.65598
amandafrench 2530.589717
openeditionsays 2491.27153
inactinique 2183.450362
briancroxall 2093.876857
piotrr70 2014.064889
brettbobley 1798.013658
miriamkp 1693.203103
melissaterras 1596.42585


Top Replied-To in Entire Graph Entire Graph Count
colleengreene 4
thatcamp 3
rosemarysewart 2
normasalim 2
janaremy 2
spagnoloacht 1
chuckrybak 1
lawnsports 1
ncecire 1
academicdave 1
Top Mentioned in Entire Graph Entire Graph Count
thatcamp 25
piotrr70 25
briancroxall 17
ncecire 16
spouyllau 14
thtcmpfeminisms 10
marindacos 8
dhlib2012 8
thatcamprtp 7
goldstoneandrew 6
Top URLs in Tweet in Entire Graph Entire Graph Count 26 19 19 15 12 11 10 10 8 8
Top Hashtags in Tweet in Entire Graph Entire Graph Count
thatcamp 137
mla13 27
dh 22
tcp2012 17
thatcampsocal 12
dhlib2012 9
unconferences 7
thatcamptheory 6
digitalhumanities 6
tcny2012 6

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).