20110703-NodeXL-Twitter-galway graph

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word Galway when queried on July 3, 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/5899578549/sizes/o

 

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

 

Top most between users:

@colmtobin

@rtegaa

@officialgaa

@aaroadwatch

@gergilroy

@galwayad

@gaa_beo

@setantasports

@jimmynorman

@volvo_oceanrace

 

Graph Metric: Value

Graph Type: Directed

Vertices: 967

Unique Edges: 6428

Edges With Duplicates: 1379

Total Edges: 7807

Self-Loops: 1122

Connected Components: 274

Single-Vertex Connected Components: 246

Maximum Vertices in a Connected Component: 655

Maximum Edges in a Connected Component: 7299

Maximum Geodesic Distance (Diameter): 13

Average Geodesic Distance: 3.114706

Graph Density: 0.006586934

NodeXL Version: 1.0.1.171

 

The local networks of each of the users is shown alongside the complete network graph.

 

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