20120201-NodeXL-Twitter-knight foundation OR @knightfdn network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6802864183/sizes/l/
These are the connections among the Twitter users who recently tweeted the word knight foundation when queried on February 1, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/25/2012 23:00 and ends on 2/1/2012 17:49 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. 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/6802864183/sizes/l/
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:
@knightfdn
@olpc
@craignewmark
@rachelsterne
@stevecase
@codeforamerica
@sxsw
@ibarguen
@jczamora
@fromthehip
V1, V2, WEIGHT
knight, foundation, 87
game, design, 74
civic, engagement, 73
increase, civic, 69
digital, literacy, 68
four, ideas, 55
via, @knightfdn, 51
@detroit, detroit, 51
@citizeneffect, @detroit, 49
@nickgrossman, @pahlkadot, 38
@pahlkadot, @rachelsterne, 38
@rachelsterne, @nsjacob, 38
check, out, 37
digital, learning, 36
learning, day, 36
@nsjacob, provide, 35
provide, insight, 35
@knightfdn, #newschallenge, 33
civic, tech, 32
tech, @nickgrossman, 32
Graph Metric: Value
Graph Type: Directed
Vertices: 408
Unique Edges: 2062
Edges With Duplicates: 952
Total Edges: 3014
Self-Loops: 57
Connected Components: 15
Single-Vertex Connected Components: 12
Maximum Vertices in a Connected Component: 392
Maximum Edges in a Connected Component: 2995
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.141771
Graph Density: 0.014591463
Modularity: 0.290536
NodeXL Version: 1.0.1.200
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.
20120201-NodeXL-Twitter-knight foundation OR @knightfdn network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6802864183/sizes/l/
These are the connections among the Twitter users who recently tweeted the word knight foundation when queried on February 1, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/25/2012 23:00 and ends on 2/1/2012 17:49 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. 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/6802864183/sizes/l/
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:
@knightfdn
@olpc
@craignewmark
@rachelsterne
@stevecase
@codeforamerica
@sxsw
@ibarguen
@jczamora
@fromthehip
V1, V2, WEIGHT
knight, foundation, 87
game, design, 74
civic, engagement, 73
increase, civic, 69
digital, literacy, 68
four, ideas, 55
via, @knightfdn, 51
@detroit, detroit, 51
@citizeneffect, @detroit, 49
@nickgrossman, @pahlkadot, 38
@pahlkadot, @rachelsterne, 38
@rachelsterne, @nsjacob, 38
check, out, 37
digital, learning, 36
learning, day, 36
@nsjacob, provide, 35
provide, insight, 35
@knightfdn, #newschallenge, 33
civic, tech, 32
tech, @nickgrossman, 32
Graph Metric: Value
Graph Type: Directed
Vertices: 408
Unique Edges: 2062
Edges With Duplicates: 952
Total Edges: 3014
Self-Loops: 57
Connected Components: 15
Single-Vertex Connected Components: 12
Maximum Vertices in a Connected Component: 392
Maximum Edges in a Connected Component: 2995
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.141771
Graph Density: 0.014591463
Modularity: 0.290536
NodeXL Version: 1.0.1.200
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.