Top LinkedIn Groups for Analytics, Big Data, Data Science – “Big Bang” to Now
Gregory Piatetsky-Shapiro
Part-time philosopher, Retired, Data Scientist, KDD and KDnuggets Founder, was LinkedIn Top Voice on Data Science & Analytics. Currently helping Ukrainian refugees in MA.
We update our analysis of Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Nov 2014).
In this post we analyze membership growth trends and will examine the activity, comments, and discussion in the next post, coming soon.
We re-examined what are relevant groups and added 7 groups with at least 6,000 members
- Business Intelligence Professionals
- Statistics & Analytics Consultants Group
- Big Data, Analytics, Hadoop, NoSQL & Cloud Computing
- Data Warehouse / Big Data / Hadoop / Predictive Analytics
- IBM Big Data and Analytics
- Data Science & Machine Learning
- Predictive Analytics
and dropped 2 smaller groups: PMML, and BI Tools which had less than 4K members.
We also extracted full data from each group statistics page which allowed us to go back to the start of LinkedIn groups in 2007.
Fig 1. shows the number of groups created by quarter.
Fig 1: Top LinkedIn Analytics, Big Data, Data Mining, and Data Science Groups, by quarter created.
We note 2 big clusters - most of the top groups created from 2007 Q3 to 2009 Q2, and many of these groups had Predictive Analytics or Data Mining in their (original) names.
Note: LinkedIn allows group to be renamed up to 5 times, and many of the older groups have been renamed to keep up with the latest trends.
The second, smaller cluster has 7 groups, which were created from 2011 Q2 to 2012 Q1 - during the beginning of Big Data boom, and the largest of these groups have Big Data in their name. Somehow, almost no top groups were created in 18 months between June 2009 and Apr 2011 (perhaps due to recession?).
Next chart shows group membership growth, with nicknames of the top groups shown on the right.
Fig 2: Top LinkedIn Analytics, Big Data, Data Mining, and Data Science Groups, members 2008q1 - 2015q1
Next chart shows the average growth on logarithmic scale, which declined from Big Bang-like 16,000% in 2008 to a more reasonable 47% in 2014. Notice the increase in creation rate in 2011 which reflects the creation of the second cluster of groups then.
Fig 3: Top LinkedIn Analytics, Big Data, Data Mining, and Data Science Groups, Average annual growth rate and groups created, 2008 - 2015.
Next we look at the largest groups and their growth.
See the rest of the post on KDnuggets:
Words are a motherfucker
9 年So meta!
Sr. Consult for AI / InfoSec Strategic Initiatives; secure SDLC; data protect; privacy; symbolic AI; OPA; ABAC; metadata governance; compliance; 12 yrs finance & defense sector InfoSec; sustainability CRISC CDPSE CSQE
9 年Nice presentation - and a lot of work. What about engagement? Any intuitions? LinkedIn groups are full of post-only "discussions."
Statistician/Statistical Data Scientist; Author of 'A Practitioner’s Guide To Business Analytics'
9 年Very interesting; I wonder where all of this is going. We recently started a new LinkedIn group: About Data Analysis.
tinkerer
9 年Michael Waldron
Data Culturist
9 年This is a great study, Gregory. It would be interesting, though, to include groups that cover the business applications of analytics, such as: - Retail, Marketing and Customer Analytics - Business Intelligence & Analytics Group - Institute of Business Forecasting & Planning/ S&OP/ Demand Planning/ Supply Chain/ Analytics/ Data - Analytics Jobs - Real Analytics: Talk about today's business analytics - Retail Analytics & Business Intelligence - Total Customer - Loyalty, marketing, CRM, data and analytics, customer experience Like that, you could possibly observe some trends in the penetration of analytics in business (e.g., marketing, supply chain or finance) functions.