20120227-NodeXL-Twitter-#NICAR network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6937396055/sizes/l/
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=445
These are the connections among the Twitter users who recently tweeted the word #nicar when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/21/2012 00:36 and ends on 2/27/2012 23:18 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/6937396055/sizes/l/
Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@ericg
@hbillings
@harrisj
@eads
@elthenerd
@marc_smith
@fishnette
@keaggy
@nicar_
@schwanksta
Top keyword pairs by frequency of mention
V1, V2, WEIGHT
#nicar, conference, 7
golden, age, 6
open, source, 6
finally, put, 6
jquery, tablechart, 6
tablechart, plugin, 6
easy, charts, 6
html, tables, 6
tables, https, 6
google, maps, 5
jjkd, ltc, 5
first, #nicar, 4
ire, members, 4
members, share, 4
share, advice, 4
data, viz, 4
union, station, 3
data, journalists, 3
journalists, push, 3
open, data, 3
Graph Metric, Value
Graph Type, Directed
Vertices, 57
Unique Edges, 185
Edges With Duplicates, 65
Total Edges, 250
Self-Loops, 58
Connected Components, 9
Single-Vertex Connected Components, 8
Maximum Vertices in a Connected Component, 49
Maximum Edges in a Connected Component, 241
Maximum Geodesic Distance (Diameter), 7
Average Geodesic Distance, 2.825239
Graph Density, 0.053884712
Modularity, 0.32806
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.
20120227-NodeXL-Twitter-#NICAR network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6937396055/sizes/l/
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=445
These are the connections among the Twitter users who recently tweeted the word #nicar when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/21/2012 00:36 and ends on 2/27/2012 23:18 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/6937396055/sizes/l/
Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@ericg
@hbillings
@harrisj
@eads
@elthenerd
@marc_smith
@fishnette
@keaggy
@nicar_
@schwanksta
Top keyword pairs by frequency of mention
V1, V2, WEIGHT
#nicar, conference, 7
golden, age, 6
open, source, 6
finally, put, 6
jquery, tablechart, 6
tablechart, plugin, 6
easy, charts, 6
html, tables, 6
tables, https, 6
google, maps, 5
jjkd, ltc, 5
first, #nicar, 4
ire, members, 4
members, share, 4
share, advice, 4
data, viz, 4
union, station, 3
data, journalists, 3
journalists, push, 3
open, data, 3
Graph Metric, Value
Graph Type, Directed
Vertices, 57
Unique Edges, 185
Edges With Duplicates, 65
Total Edges, 250
Self-Loops, 58
Connected Components, 9
Single-Vertex Connected Components, 8
Maximum Vertices in a Connected Component, 49
Maximum Edges in a Connected Component, 241
Maximum Geodesic Distance (Diameter), 7
Average Geodesic Distance, 2.825239
Graph Density, 0.053884712
Modularity, 0.32806
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.