Here is a nice way to display high resolution network maps: zoom.it!

This is a map of the connections among the people who tweeted the terms “FOCAS11” or “Aspen Institute” on August 2, 2011.

Connections among the Twitter users who recently tweeted the word Aspeninstitute OR FOCAS11 when queried on August 2, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: www.aspeninstitute.org/policy-work/communications-society…

Layout using the “Group Layout” composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

A larger version of the image is here: www.flickr.com/photos/marc_smith/6001893675/sizes/o/

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

Top most between users:
@aspeninstitute
@lancearmstrong
@emptywheel
@knightfdn
@pkedrosky
@bostonreview
@josefjohann
@kgosztola
@utknightcenter
@sowers

Graph Metric: Value
Graph Type: Directed
Vertices: 324
Unique Edges: 649
Edges With Duplicates: 743
Total Edges: 1392
Self-Loops: 339
Connected Components: 81
Single-Vertex Connected Components: 76
Maximum Vertices in a Connected Component: 240
Maximum Edges in a Connected Component: 1284
Maximum Geodesic Distance (Diameter): 7
Average Geodesic Distance: 2.67739
Graph Density: 0.007023277
NodeXL Version: 1.0.1.173

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

NodeXL is free and open and available from www.codeplex.com/nodexl

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) – which is dedicated to open tools, open data, and open scholarship.

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.