All Tomorrow's Cultures

Back on my pc--and here's my whole visualization for #AAA2015. It's the largest set of tweets I've ever mapped from AAA: 21, 879 edges, 3543 nodes.  I ran it when I got to my office on Monday, November 23 and it covers the whole 8 day window that includes some pre- and post-tweets.  I used the Clauset-Newman-Moore cluster algorithm to group the tweets--said to be particularly effective in revealing community structures in large networks.  Finally, each identified "group" is arranged in its own box, courtesy of the Harel-Koren Fast Multiscale layout algorithm.  Nice!  That said, it's hard to beat Marc Smith , who mapped out the network on Saturday, November 21.  He's got a neater graph than mine--it's his software, after all!  But I still wanted to work through my own data. In many ways, the graph is typical of associations.   Marc Smith et al (2014 ) might call this an example of a "tight crowd": " highly interconnected people w...

I'm on my Macbook at the AAA conference, so NodeXL isn't happening for me, so I'm using socioviz instead.  It's a java-enabled, web-based Twitter network visualization--but it's quick and dirty (especially in its free form).  Here's the #anthroboycott traffic over the last few minutes, with close-ups of the main components. So--there's a great deal of Twitter traffic now (it's not SXSW, but not bad!).  Socioviz will only pick off the latest 100 tweets.  Even so, we can see effort to bring people into the assembly . . . And here are the top tweets by degree centrality 1) Doors to the #AAA2015 business meeting open at 530PM! CCC Mile High Ballrooms 2 +3. Vote NO on 1, YES on 2 #Anthroboycott 2) 2.5 hours until #Anthroboycott vote. Mile high Ballroom 2&3. #AAA2015 https://t.co/FARzNSLZ0Q 3) RT @PalestineToday: Mick Taussig: The issue seems not so much why support; but how could you not? #AnthroBoycott #AAA2015 #BDS https://t.co? ...