20110620-NodeXL-Twitter-Worldbank composite

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word Worldbank when queried on June 20, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

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/5858205124/sizes/o/

 

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

 

Top most between users:

@worldbank

@wbpubs

@undp

@worldbankafrica

@bankdunia

@gdndevelopment

@worldbankasia

@greatindonesia

@wecanendpoverty

@worldbanklac

 

Graph Metric: Value

Graph Type: Directed

Vertices: 726

Unique Edges: 2537

Edges With Duplicates: 895

Total Edges: 3432

Self-Loops: 0

Connected Components: 71

Single-Vertex Connected Components: 62

Maximum Vertices in a Connected Component: 648

Maximum Edges in a Connected Component: 3412

Maximum Geodesic Distance (Diameter): 8

Average Geodesic Distance: 2.740275

Graph Density: 0.005654032

NodeXL Version: 1.0.1.170

 

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.

 

Done