20110701-NodeXL-Twitter-eyeo composite

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word Eyeo when queried on July 1, 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:

 

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

 

Top most between users:

@brainpicker

@blprnt

@eyeofestival

@core77

@feltron

@golan

@reas

@infosthetics

@flight404

@moritz_stefaner

 

Graph Metric: Value

Graph Type: Directed

Vertices: 646

Unique Edges: 5558

Edges With Duplicates: 1900

Total Edges: 7458

Self-Loops: 638

Connected Components: 17

Single-Vertex Connected Components: 16

Maximum Vertices in a Connected Component: 630

Maximum Edges in a Connected Component: 7442

Maximum Geodesic Distance (Diameter): 5

Average Geodesic Distance: 2.458339

Graph Density: 0.014464684

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