20110714-NodeXL-Twitter-List-ValdisKrebs-network-analysis
From: www.connectedaction.net
Connections among the Twitter users on the Twitter-List-ValdisKrebs-network-analysis when queried on July 14, 2011.
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:
Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality
The local networks of each of the users is shown alongside the complete network graph.
Top most between participants:
@juneholley
@orgnet
@vidujagoss
@ressivenetworks
@marc_smith
@barrywellman
@kammerait
@soramaki
@fasresearch
@danielequercia
Graph Metric: Value
Graph Type: Directed
Vertices: 181
Unique Edges: 2879
Edges With Duplicates: 13
Total Edges: 2892
Self-Loops: 0
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 181
Maximum Edges in a Connected Component: 2892
Maximum Geodesic Distance (Diameter): 3
Average Geodesic Distance: 1.897256
Graph Density: 0.088551258
NodeXL Version: 1.0.1.172
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.
20110714-NodeXL-Twitter-List-ValdisKrebs-network-analysis
From: www.connectedaction.net
Connections among the Twitter users on the Twitter-List-ValdisKrebs-network-analysis when queried on July 14, 2011.
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:
Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality
The local networks of each of the users is shown alongside the complete network graph.
Top most between participants:
@juneholley
@orgnet
@vidujagoss
@ressivenetworks
@marc_smith
@barrywellman
@kammerait
@soramaki
@fasresearch
@danielequercia
Graph Metric: Value
Graph Type: Directed
Vertices: 181
Unique Edges: 2879
Edges With Duplicates: 13
Total Edges: 2892
Self-Loops: 0
Connected Components: 1
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 181
Maximum Edges in a Connected Component: 2892
Maximum Geodesic Distance (Diameter): 3
Average Geodesic Distance: 1.897256
Graph Density: 0.088551258
NodeXL Version: 1.0.1.172
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.