20110916-NodeXL-Twitter-Purdue Composite

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word Purdue when queried on September 16, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

See: www.purdue.edu/

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

(Edges connecting users are bundled and curved with recent features added to NodeXL v.177.)

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6155750905/sizes/o/in/ph...

 

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

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@lifeatpurdue

@jajuanjohnson

@stfu_gabby

@purdueexponent

@charliienosheen

@mbrister2

@boilerfootball

@purduesports

@hipandresanbo

@cheesebrrrrr

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1000

Unique Edges: 4045

Edges With Duplicates: 706

Total Edges: 4751

Self-Loops: 977

Connected Components: 429

Single-Vertex Connected Components: 395

Maximum Vertices in a Connected Component: 528

Maximum Edges in a Connected Component: 4134

Maximum Geodesic Distance (Diameter): 12

Average Geodesic Distance: 3.517707

Graph Density: 0.003507508

NodeXL Version: 1.0.1.177

 

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