20120305-NodeXL-Twitter-pawcon network graph

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6956981781/sizes/l/

Data set: www.nodexlgraphgallery.org/Pages/Graph.aspx?graphID=452

 

These are the connections among the Twitter users who recently tweeted the word pawcon when queried on March 5, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/27/2012 16:00 and ends on 3/5/2012 16:54 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).

 

Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6956981781/sizes/l/

 

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

 

Top most between users:

@pawcon

@sasanalytics

@kristinevick

@informs

@decisionmgt

@prospricing

@foresee

@zementis

@antionen

@teradata

 

V1, V2, WEIGHT

next, week, 25

social, data, 16

emergency, response, 16

san, francisco, 16

attending, #pawcon, 13

#pawcon, next, 11

francisco, next, 8

#pawcon, san, 8

predictive, #analytics, 6

@emetrics, keynote, 6

#sas, storyboards, 5

@pawcon, next, 5

inspire, collaboration, 5

business, value, 5

#analytics, story, 5

#pawcon, #demandcon, 5

#demandcon, #emetrics, 5

#emetrics, #convcon, 5

book, giveaways, 4

follow, @sasanalytics, 4

 

Graph Metric, Value

Graph Type, Directed

Vertices, 49

Unique Edges, 210

Edges With Duplicates, 84

Total Edges, 294

Self-Loops, 39

Connected Components, 3

Single-Vertex Connected Components, 1

Maximum Vertices in a Connected Component, 46

Maximum Edges in a Connected Component, 288

Maximum Geodesic Distance (Diameter), 5

Average Geodesic Distance, 2.150872

Graph Density, 0.093537415

Modularity, 0.305541

NodeXL Version, 1.0.1.201

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

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.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

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