KDnuggets Twitter Social Network

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, open-source 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 G4-G9 where a central role is played by one leading tweeter, including
  @ibmbigdata,
  @yvesmulkers,
  @tomhcanderson, @peteskomoroch
• and a bunch of micro-clusters.

Top links in Entire Graph:

• 
  Data Science Venn Diagram v 2.0
• 
  Dilbert on Big Data Analysis and Salaries
• 
  Analytics-data-mining 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