20110913-NodeXL-Twitter-NY9 top between
From: www.connectedaction.net
Top most between Twitter users who recently tweeted the word NY9 when queried on September 13, 2011, sorted by betweenness centrality.
Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A visualization of the network is here: www.flickr.com/photos/marc_smith/6147273131/sizes/o/in/ph...
Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@bobturner9th
@daveweigel
@tpm
@dndailypolitics
@salon
@azipaybarah
@yossigestetner
@bkpolitics
@capitaltonight
@rickklein
Graph Metric: Value
Graph Type: Directed
Vertices: 650
Unique Edges: 6973
Edges With Duplicates: 1684
Total Edges: 8657
Self-Loops: 690
Connected Components: 12
Single-Vertex Connected Components: 11
Maximum Vertices in a Connected Component: 639
Maximum Edges in a Connected Component: 8646
Maximum Geodesic Distance (Diameter): 6
Average Geodesic Distance: 2.714977
Graph Density: 0.017321323
NodeXL Version: 1.0.1.176
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.
20110913-NodeXL-Twitter-NY9 top between
From: www.connectedaction.net
Top most between Twitter users who recently tweeted the word NY9 when queried on September 13, 2011, sorted by betweenness centrality.
Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A visualization of the network is here: www.flickr.com/photos/marc_smith/6147273131/sizes/o/in/ph...
Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@bobturner9th
@daveweigel
@tpm
@dndailypolitics
@salon
@azipaybarah
@yossigestetner
@bkpolitics
@capitaltonight
@rickklein
Graph Metric: Value
Graph Type: Directed
Vertices: 650
Unique Edges: 6973
Edges With Duplicates: 1684
Total Edges: 8657
Self-Loops: 690
Connected Components: 12
Single-Vertex Connected Components: 11
Maximum Vertices in a Connected Component: 639
Maximum Edges in a Connected Component: 8646
Maximum Geodesic Distance (Diameter): 6
Average Geodesic Distance: 2.714977
Graph Density: 0.017321323
NodeXL Version: 1.0.1.176
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.