20111230-NodeXL-Twitter-pfizer network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6793088143/sizes/l/in/ph...
These are the connections among the Twitter users who recently tweeted the word pfizer when queried on January 30, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/28/2012 19:03 and ends on 1/30/2012 23:05 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/6793088143/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:
@makersnazzair
@pfizer_news
@fredliberty2010
@smashsmamilk
@wsjhealth
@pfizerorw
@wsjbusiness
@benitecltd
@azendrian
@golfswingtrs
Top keyword pairs:
thanks, pfizer, 60
click, here, 60
free, sample, 59
fda, approves, 52
approves, pfizer, 40
sma, milk, 38
support, children, 34
supposedly, cater, 34
@smashsmamilk, #shameonpfizer, 34
cierne, medida, 32
empresa, pfizer, 32
expropiacion, contra, 31
bioportfolio, news, 24
kidney, cancer, 23
#pharma, #pfizer, 21
pfizer, sera, 20
sera, por, 20
fda, approval, 20
pfizer, inc, 20
Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 2585
Edges With Duplicates: 811
Total Edges: 3396
Self-Loops: 1067
Connected Components: 327
Single-Vertex Connected Components: 313
Maximum Vertices in a Connected Component: 652
Maximum Edges in a Connected Component: 2963
Maximum Geodesic Distance (Diameter): 10
Average Geodesic Distance: 3.57997
Graph Density: 0.002097097
Modularity: 0.486809
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.
20111230-NodeXL-Twitter-pfizer network graph
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6793088143/sizes/l/in/ph...
These are the connections among the Twitter users who recently tweeted the word pfizer when queried on January 30, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/28/2012 19:03 and ends on 1/30/2012 23:05 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/6793088143/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:
@makersnazzair
@pfizer_news
@fredliberty2010
@smashsmamilk
@wsjhealth
@pfizerorw
@wsjbusiness
@benitecltd
@azendrian
@golfswingtrs
Top keyword pairs:
thanks, pfizer, 60
click, here, 60
free, sample, 59
fda, approves, 52
approves, pfizer, 40
sma, milk, 38
support, children, 34
supposedly, cater, 34
@smashsmamilk, #shameonpfizer, 34
cierne, medida, 32
empresa, pfizer, 32
expropiacion, contra, 31
bioportfolio, news, 24
kidney, cancer, 23
#pharma, #pfizer, 21
pfizer, sera, 20
sera, por, 20
fda, approval, 20
pfizer, inc, 20
Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 2585
Edges With Duplicates: 811
Total Edges: 3396
Self-Loops: 1067
Connected Components: 327
Single-Vertex Connected Components: 313
Maximum Vertices in a Connected Component: 652
Maximum Edges in a Connected Component: 2963
Maximum Geodesic Distance (Diameter): 10
Average Geodesic Distance: 3.57997
Graph Density: 0.002097097
Modularity: 0.486809
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.