# KDnuggets Twitter Social Network

We examine KDnuggets Twitter social network, created by NodeXL, a free, open-source 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, 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