20120227-NodeXL-Twitter-bigdata network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6792756018/sizes/l/
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=447
These are the connections among the Twitter users who recently tweeted the word bigdata 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 2/26/2012 2:56 and ends on 2/27/2012 22:25 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/6792756018/sizes/l/
Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@rwang0
@strataconf
@emccorp
@dhinchcliffe
@cloudexpo
@ibmbigdata
@bigdata
@jameskobielus
@thecloudnetwork
@attritionorg
Top word pairs by frequency of mention
V1, V2, WEIGHT
#cloudexpo, #cloudcomputing, 559
#cloudcomputing, #bigdata, 511
#cloud, #cloudexpo, 483
#bigdata, @cloudexpo, 343
@ulitzer, #cloud, 342
big, data, 275
@cloudexpo, @bigdataexpo, 170
@ulitzer, #cloudexpo, 87
#cloudexpo, #bigdata, 47
ups, fronts, 44
fronts, working, 44
working, capital, 44
commerce, merchants, 44
adoption, issues, 43
#bigdata, #analytics, 42
big, deal, 40
dimension, data, 39
data, #cloud, 39
#cloud, services, 39
new, york, 38
Graph Metric, Value
Graph Type, Directed
Vertices, 824
Unique Edges, 6978
Edges With Duplicates, 1697
Total Edges, 8675
Self-Loops, 755
Connected Components, 63
Single-Vertex Connected Components, 57
Maximum Vertices in a Connected Component, 757
Maximum Edges in a Connected Component, 8594
Maximum Geodesic Distance (Diameter), 11
Average Geodesic Distance, 3.118791
Graph Density, 0.010373781
Modularity, 0.309689
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-bigdata network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6792756018/sizes/l/
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=447
These are the connections among the Twitter users who recently tweeted the word bigdata 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 2/26/2012 2:56 and ends on 2/27/2012 22:25 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/6792756018/sizes/l/
Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@rwang0
@strataconf
@emccorp
@dhinchcliffe
@cloudexpo
@ibmbigdata
@bigdata
@jameskobielus
@thecloudnetwork
@attritionorg
Top word pairs by frequency of mention
V1, V2, WEIGHT
#cloudexpo, #cloudcomputing, 559
#cloudcomputing, #bigdata, 511
#cloud, #cloudexpo, 483
#bigdata, @cloudexpo, 343
@ulitzer, #cloud, 342
big, data, 275
@cloudexpo, @bigdataexpo, 170
@ulitzer, #cloudexpo, 87
#cloudexpo, #bigdata, 47
ups, fronts, 44
fronts, working, 44
working, capital, 44
commerce, merchants, 44
adoption, issues, 43
#bigdata, #analytics, 42
big, deal, 40
dimension, data, 39
data, #cloud, 39
#cloud, services, 39
new, york, 38
Graph Metric, Value
Graph Type, Directed
Vertices, 824
Unique Edges, 6978
Edges With Duplicates, 1697
Total Edges, 8675
Self-Loops, 755
Connected Components, 63
Single-Vertex Connected Components, 57
Maximum Vertices in a Connected Component, 757
Maximum Edges in a Connected Component, 8594
Maximum Geodesic Distance (Diameter), 11
Average Geodesic Distance, 3.118791
Graph Density, 0.010373781
Modularity, 0.309689
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.