KDnuggets Twitter Social Network
We examine KDnuggets Twitter social network, created by NodeXL, a free, opensource template for Microsoft Excel for social network analysis.
I am grateful to Marc Smith, @marc_smith, for generating the following network graph which represents a network of Twitter users whose tweets contained "kdnuggets" from Jan 1 to Feb 3, 2014.
NodeXL is a free, opensource template for Microsoft Excel and
is supported by donations from users.
NodeXL automatically generated highlights (top twitters and hashtags)
for this graph are in NodeXL SNA gallery bit.ly/LIPsm8
Top vertices by betweenness centrality:
 @kdnuggets
 @kirkdborne
 @yvesmulkers
 @jackwmson
 @latentview
 @bigdatastartups
 @singularityis
 @ie_bigdata
 @informs
 @biconnections
Top hashtags overall:
 #BigData #DataScience #Analytics #DataMining #BigDataCo #FF #MachineLearning #Hadoop #IBMWatson
Here are some human understandable highlights. The graph shows
 one very large cluster G1, with top words:
data
kdnuggets
science
bigdata
analytics
top
scientist
find
learning,  a medium size connected cluster G2, with a major role by @kirkdborne (Kirk D. Borne, Prof. of Astrophysics at GMU and a leading data scientist),
 cluster G3 which has many unconnected components,
 small clusters G4G9 where a central role is played by one leading tweeter, including
@ibmbigdata,
@yvesmulkers,
@tomhcanderson, @peteskomoroch  and a bunch of microclusters.
Top links in Entire Graph:
Data Science Venn Diagram v 2.0
Dilbert on Big Data Analysis and Salaries
Analyticsdatamining KDnuggets content from TweetedTimes
Data Science Skills vs Roles map
Learning from Data, Caltech Free Online Course, now with captions in 40 languages
Free Tutorial: Data Science in Python
Cartoon: Let's solve this problem by using the Big Data none of us have the slightest idea what to do with Hadoop: Elephants in the Cloud
 www.statistics.com/
MassBigData launched to boost Massachusetts Big Data, Analytics Ecosystem
I am not sure what else does this graph mean  your suggestions welcome!
Overall Graph Metrics:
 Vertices: 1375
 Unique Edges: 1890
 Connected Components: 140
 Maximum Vertices in a Connected Component: 1197
 Maximum Edges in a Connected Component: 3448
 Maximum Geodesic Distance (Diameter): 7
 Average Geodesic Distance: 2.426217
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