A Data Science Central Community
We are in the top 20 list :-)
A month back I used Traackr to look at influencers in mobile (look out for an upcoming piece on Kred if you are interested in the community of influencers around social business). One notable feature of Traackr is that the influencer list changes on almost a weekly basis. Because it is driven by a set of keywords, writers come in and out of the list, or go up and down, depending on what they are writing about and how often.
This month I tracked the influencers in Big Data. And again this list will change regularly.
What’s interesting about this for me is that Big Data is an area I know comparatively little about. Many of the names on the list are new to me.
That means, I think, that I have a research tool here that can quickly allow me to become more knowledgeable in new areas.
This is vitally important in the age of knowledge flow – we need to be able to take snapshots, and we need to frame a subject area in an instant.
Though Traackr is marketed as an influence tool, I think it’s a good research tool in general. On the mobile project, I’ve now set up my own monitoring service (more in the next post) which keeps check of what influencers are saying about Nokia (NOK).Samsung and the iPhone (AAPL).
Below are the results of the Big Data survey. Influencers are ranked by Reach, Resonance and Relevance. The terms are explained below. Here are the top 5 according to Traackr.
Read full details at http://www.forbes.com/sites/haydnshaughnessy/2012/02/03/who-are-the...