View allAll Photos Tagged cloudexpo,
The graph represents a network of up to 1000 Twitter users whose recent tweets contained "hadoop". The network was obtained on Monday, 26 March 2012 at 22:31 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The earliest tweet in the network was tweeted on Friday, 23 March 2012 at 18:55 UTC. The latest tweet in the network was tweeted on Monday, 26 March 2012 at 19:46 UTC.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
The edge colors are based on relationship values. The vertex sizes are based on followers values.
Overall Graph Metrics:
Vertices: 1000
Unique Edges: 6078
Edges With Duplicates: 1006
Total Edges: 7084
Self-Loops: 886
Connected Components: 237
Single-Vertex Connected Components: 223
Maximum Vertices in a Connected Component: 747
Maximum Edges in a Connected Component: 6752
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.249811
Graph Density: 0.00584284284284284
Modularity: 0.380253
Top 10 Vertices, Ranked by Betweenness Centrality:
@cloudera
@hackingdata
@mikeolson
@al3xandru
@bigdata
@tlipcon
@infochimps
@allcloudnews
@merv
@twitteross
Top keyword pairs by frequency of mention
V1V2WEIGHT
bigdata219
addshadoop120
mapradds100
hadoopconnectors100
movehighlights50
amazonmove49
highlightshadoop47
hadoophurdles47
cloudcomputing41
@ulitzer#cloud40
#cloud#cloudexpo40
#cloudexpo#cloudcomputing40
#cloudcomputing#bigdata40
#bigdata@cloudexpo40
@cloudexpo@bigdataexpo40
apache#hbase39
dataprocessing33
opensource32
#codemotion#es30
definitiveguide29
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.
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.
From: www.connectedaction.net
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=447
These are the most between 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.
A visualization of the network 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.
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