HealthTap is a website that connects people with medical questions to health providers with answers.
[flickr id=”6198785341″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
This is a map of the 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.
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
Graph Metric: Value
Graph Type: Directed
Unique Edges: 3630
Edges With Duplicates: 1337
Total Edges: 4967
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: 126.96.36.199
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.