Case study with Data blogs, from 300 to 1000

We looked at how we could help increase the size of a list of Top300 Data blogs fast.
Initial idea from Marshall Kirkpatrick.
Project turn around 1 day. Here is the initial list of 300 bloggers:

Here is how we proceeded:

• We loaded the initial list in our application
• We mapped the initial community (graph above)
• We analyzed the different clusters and identify a few sub communities around: BI, SOA/CLoud and Machine Learning
• We also mine the content the initial bloggers’ list and got the following “expressions” as the one most frequently used
• We expanded the different clusters and came up with a list close to 1000 (graph below)
• This list has two major clusters and 4 smaller ones
  • SOA/Cloud/Architecture
  • BI
  • BI-Datamining
  • BI-Visualization/Dashboarding
  • Machine Learning/NLP/ SNA/ Comp Linguistics/ AI (oops a taboo word)
  • Developper blogs around data
• Half of the bloggers form a very well connected community around those subjects. The others are not

Below are the top 500 ranked by influence.