20120213-NodeXL-Twitter-knightfdn network graph

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6878818931/sizes/l/

Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=400

 

These are the connections among the Twitter users who recently tweeted the word knightfdn when queried on February 13, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/6/2012 19:25 to 2/14/2012 1:37 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/6878818931/sizes/l/

 

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

 

Top most between users:

@knightfdn

@niemanlab

@jsb

@ibarguen

@kdmc

@oso

@jczamora

@nabjdigital

@mediatwit

@changethelaw

 

V1, V2, WEIGHT

data, journalism, 67

journalism, camp, 66

news, challenge, 65

washington, post, 63

@knightfdn, #newschallenge, 61

@bmechallenge, @knightfdn, 50

media, learning, 36

learning, seminar, 36

@knightfdn, grant, 30

knight, news, 29

leverage, networks, 29

@knightfdn, announces, 29

engage, readers, 24

nice, writeup, 22

@knightfdn, funded, 22

funded, startup, 22

startup, @ownlocal, 22

community, newspapers, 22

looking, forward, 21

via, @knightfdn, 21

 

Graph Metric, Value

Graph Type, Directed

Vertices, 298

Unique Edges, 2615

Edges With Duplicates, 897

Total Edges, 3512

Self-Loops, 64

Connected Components, 1

Single-Vertex Connected Components, 0

Maximum Vertices in a Connected Component, 298

Maximum Edges in a Connected Component, 3512

Maximum Geodesic Distance (Diameter), 6

Average Geodesic Distance, 1.996171

Graph Density, 0.033251983

Modularity, 0.255927

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