20110928-NodeXL-Twitter-healthtap-composite

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word HealthTap when queried on September 28, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

See: healthtap.com/

 

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/6198785341/sizes/l/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:

@lifehacker

@healthtap

@drpam4women

@androidandme

@drpam

@amazonwireless

@jonmrich

@etseng

@mobilehealth

@doctor_v

 

Graph Metric: Value

Graph Type: Directed

Vertices: 638

Unique Edges: 3630

Edges With Duplicates: 1337

Total Edges: 4967

Self-Loops: 865

Connected Components: 183

Single-Vertex Connected Components: 167

Maximum Vertices in a Connected Component: 426

Maximum Edges in a Connected Component: 4677

Maximum Geodesic Distance (Diameter): 11

Average Geodesic Distance: 3.098025

Graph Density: 0.008715423

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