20110802-NodeXL-Twitter-focas11 graph
From: www.connectedaction.net
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
@jsb
@knightfdn
@famonlinesafety
@mikenelson
@cfirestone
@twitcam
@craignewmark
@democracy
@aspencs
Graph Metric: Value
Graph Type: Directed
Vertices: 54
Unique Edges: 147
Edges With Duplicates: 105
Total Edges: 252
Self-Loops: 25
Connected Components: 4
Single-Vertex Connected Components: 2
Maximum Vertices in a Connected Component: 50
Maximum Edges in a Connected Component: 246
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.284916
Graph Density: 0.060796646
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.
Marc Smith on Twitter.
20110802-NodeXL-Twitter-focas11 graph
From: www.connectedaction.net
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
@jsb
@knightfdn
@famonlinesafety
@mikenelson
@cfirestone
@twitcam
@craignewmark
@democracy
@aspencs
Graph Metric: Value
Graph Type: Directed
Vertices: 54
Unique Edges: 147
Edges With Duplicates: 105
Total Edges: 252
Self-Loops: 25
Connected Components: 4
Single-Vertex Connected Components: 2
Maximum Vertices in a Connected Component: 50
Maximum Edges in a Connected Component: 246
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.284916
Graph Density: 0.060796646
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.
Marc Smith on Twitter.