20120701 PAWCON NodeXL Twitter SNA, 7/1/2012 9:15:33 PM, 753


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20120701 PAWCON NodeXL Twitter SNA
20120701 PAWCON NodeXL Twitter SNA
From:
marc_smith
Uploaded on:
July 01, 2012
Description:
The graph represents a network of 105 Twitter users whose recent tweets contained "pawcon". The network was obtained on Sunday, 01 July 2012 at 20:15 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 tweets were made over the 8-day period from Saturday, 23 June 2012 at 04:58 UTC to Saturday, 30 June 2012 at 23:48 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. The vertex opacities are based on followers values.

Overall Graph Metrics:
Vertices: 105
Unique Edges: 637
Edges With Duplicates: 395
Total Edges: 1032
Self-Loops: 192
Connected Components: 8
Single-Vertex Connected Components: 7
Maximum Vertices in a Connected Component: 98
Maximum Edges in a Connected Component: 1025
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.284882
Graph Density: 0.0623626373626374
Modularity: 0.183213
NodeXL Version: 1.0.1.217

Top 10 Vertices, Ranked by Betweenness Centrality:
pawcon
brunoaziza
deanabb
SASanalytics
TalentAnalytics
jamet123
Zementis
kristinevick
decisionmgt
JMP_software

Top Replied-To, in Entire Graph
pawcon
jmp_software
annebullard
deanabb
cardinalpath
statsoft
brunoaziza
sfrans
kristinevick
alteryx

Top Mentioned, in Entire Graph
deanabb
pawcon
brunoaziza
jamet123
imjustinkern
latentview
sasanalytics
talentanalytics
johnelder4
kristinevick

Top URLs in Tweet, in Entire Graph
http://www.information-management.com/news/paw-predictive-analytics-world-chicago-10022763-1.html
http://bit.ly/MP6PdA
http://bit.ly/OqFvtl
http://sfy.co/n0Ga
http://bit.ly/LoLveC
http://bit.ly/LLMoiq
http://www.pervasive.com/News/PressReleaseArchive/EntryId/1051/Pervasive-Software-to-Participate-in-Predictive-Analytics-World-2012-Chicago.aspx
http://bit.ly/N3EMHh
http://www.linkedin.com/groups?groupDashboard=&gid=2328634
http://bit.ly/LLr2BY

Top Hashtags in Tweet, in Entire Graph
#pawcon
#analytics
#bigdata
#predictive
#sashpa
#datamining
#apstudy
#data
#pmml
#cloud

Top Tweeters, in Entire Graph
LadyHuckleberi
ConsultaConJCB
data_nerd
Julianesa55
bmichelson
liveunchained
hriscareerworld
hrisjobs
brunoaziza
tdoyon

More NodeXL network visualizations are here:
http://www.flickr.com/photos/marc_smith/sets/72157622437066929/

A gallery of NodeXL network data sets is available here:
http://nodexlgraphgallery.org/

NodeXL is free and open and available from http://www.codeplex.com/nodexl

NodeXL is developed by the Social Media Research Foundation - http://www.smrfoundation.org - which is dedicated to open tools, open data, and open scholarship.

Donations to support NodeXL are welcome through PayPal: http://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=J5AERGAAN552S

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
http://www.amazon.com/gp/product/0123822297?ie=utf8&tag=conneactio-20&linkcode=as2&camp=1789&creative=390957&creativeasin=0123822297

Marc Smith on Twitter: http://twitter.com/#!/marc_smith