Join us for talks and workshops on networks, social networks, social media networks, and more.…
My host is Sorin Matei, professor of Communications, who has been researching the social structure of social media networks.
Here is an example map of the connections among the people who tweeted the word “Purdue” on September 16th, 2011:
Connections among the Twitter users who recently tweeted the word Purdue when queried on September 16, 2011, scaled by numbers of tweets (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.
(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:
Graph Metric: Value
Graph Type: Directed
Unique Edges: 4045
Edges With Duplicates: 706
Total Edges: 4751
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: 184.108.40.206
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.