20120129-NodeXL-Twitter-educon network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6785112263/sizes/l/in/ph...
These are the connections among the Twitter users who recently tweeted the word educon when queried on January 26, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/29/2012 15:13 and ends on 1/29/2012 17:42 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/6785112263/sizes/l/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:
@willrich45
@chrislehmann
@web20classroom
@thenerdyteacher
@bhsprincipal
@tomwhitby
@nmhs_principal
@rkiker
@plugusin
@baldy7
Top keyword pairs:
#educon, #cpchat, 86
google, earth, 73
#educon, #cpchat,50
@ransomtech,@willrich, 36
#edchat, #educon,33
dan, barcay, 29
barcay, #educon, 27
social, media,25
@missshuganah, @ransomtech, 22
#cpchat, #educon, 22
great, things,20
@gcouros, #educon, 20
doing, great, 18
delivery, mechanism, 18
content, mastery,16
@bhsprincipal, #educon, 16
great, things, 16
google, earth, 15
#edchat, #educon, 15
Graph Metric: Value
Graph Type: Directed
Vertices: 520
Unique Edges: 11960
Edges With Duplicates: 1821
Total Edges: 13781
Self-Loops: 552
Connected Components: 3
Single-Vertex Connected Components: 2
Maximum Vertices in a Connected Component: 518
Maximum Edges in a Connected Component: 13779
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.217951
Graph Density: 0.045968579
Modularity: 0.17656
NodeXL Version: 1.0.1.199
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.
20120129-NodeXL-Twitter-educon network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6785112263/sizes/l/in/ph...
These are the connections among the Twitter users who recently tweeted the word educon when queried on January 26, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/29/2012 15:13 and ends on 1/29/2012 17:42 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/6785112263/sizes/l/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:
@willrich45
@chrislehmann
@web20classroom
@thenerdyteacher
@bhsprincipal
@tomwhitby
@nmhs_principal
@rkiker
@plugusin
@baldy7
Top keyword pairs:
#educon, #cpchat, 86
google, earth, 73
#educon, #cpchat,50
@ransomtech,@willrich, 36
#edchat, #educon,33
dan, barcay, 29
barcay, #educon, 27
social, media,25
@missshuganah, @ransomtech, 22
#cpchat, #educon, 22
great, things,20
@gcouros, #educon, 20
doing, great, 18
delivery, mechanism, 18
content, mastery,16
@bhsprincipal, #educon, 16
great, things, 16
google, earth, 15
#edchat, #educon, 15
Graph Metric: Value
Graph Type: Directed
Vertices: 520
Unique Edges: 11960
Edges With Duplicates: 1821
Total Edges: 13781
Self-Loops: 552
Connected Components: 3
Single-Vertex Connected Components: 2
Maximum Vertices in a Connected Component: 518
Maximum Edges in a Connected Component: 13779
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.217951
Graph Density: 0.045968579
Modularity: 0.17656
NodeXL Version: 1.0.1.199
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.