20110429-NodeXL-Twitter-aljeazeera keyword network graph weighted edges group regions

From: www.connectedaction.net

 

Connections among the words used by Twitter users who recently tweeted the word aljezeera

when queried on April 29, 2011, scaled by betweenness centrality. Connections created when a word precedes a neighboring word.

 

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 network map is here:

 

Top most between words:

#aljazeera

#bahrain

#syria

@ajarabic

via

crossing

border

#sanaa

aljazeera

#daraa

 

Graph Metric: Value

Graph Type: Undirected

Vertices: 313

Unique Edges: 264

Edges With Duplicates: 12

Total Edges: 276

Self-Loops: 0

Connected Components: 67

Single-Vertex Connected Components: 0

Maximum Vertices in a Connected Component: 112

Maximum Edges in a Connected Component: 138

Maximum Geodesic Distance (Diameter): 13

Average Geodesic Distance: 5.412669

Graph Density: 0.005529614

NodeXL Version: 1.0.1.166

 

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.

 

Done