Top 30 LinkedIn Groups for Analytics, Big Data,
Data Mining, and Data Science
We investigate the largest LinkedIn groups for Analytics, Big Data, Data Mining, and Data Science and look at their size, growth and activity levels. We find there are 50% more discussions/week than comments, and Big Data groups are the fastest growing.
We extended our previous analysis and collected data on LinkedIn groups related to Analytics, Big Data, Data Mining, and Data Science with at least 2,000 members.
The groups with the largest number of members (as of April 20, 2013) are:
- Advanced Business Analytics, Data Mining and Predictive Modeling, 76,150
- Big Data / Analytics / Strategy / FP&A / S&OP ..., 60,474
- Business Analytics, 39,851
- Big Data and Analytics, 39,560
- Data Mining, Statistics, Big Data, and Data Visualization, 21,705
We also measured each group growth from it founding to April 20, and the 5 groups with the fastest growth are below. Note that the two fastest growing groups start with "Big Data", another evidence of the "Big Data" buzz.
|Big Data and Analytics||1-Mar-12||2860|
|Big Data / Analytics / Strategy / FP&A / S&OP ...||20-Feb-09||1194|
|Advanced Business Analytics, Data Mining and Predictive Modeling||28-Sep-07||1125|
|Data Science Central||10-Feb-12||660|
We also looked at how active is each group, as measured in the number of comments and discussions per week. We measured these over 4 weeks, from Mar 11 to Apr 7, 2013. Thanks to KDnuggets intern Anmol Rajpurohit for manually collecting the comments and discussions numbers from the activity graphs.
Interestingly, posting discussions is 50% more common than commenting - we found that over all groups, the average number of discussions was 2.4/week per 1000 members, while average number of comments was 1.6/week per 1000 members.
The chart below shows average comments/week vs average discussions/week for all 30 groups, with a circle size proportional to group size and darker color corresponding to faster growth. Group name abbreviations and full stats in the table below.
We note that a large cluster of groups has about 1 comment/week per 1000 members. A second cluster includes two biggest groups and has about 2 comments/1000 members. A third cluster has 5 groups which are very active relative to their size. Two more groups stand out - NGMR has the highest rate of comments, and PAN has the highest rate of discussions.
Below are the 5 most active groups, with Activity = Comments + Discussions. The numbers are counts per week, averaged over 4 weeks, from Mar 11 to Apr 7, 2013.
|KDnuggets Analytics and Data Mining||8.97||3.45||5.52|
|BIG DATA Professionals||7.8||2.92||4.88|
|Predictive Analytics Network (PAN)||7.68||0.97||6.71|
|Next Gen Market Research (NGMR)||7.03||4.69||2.34|
Here is the detailed data on all 30 LinkedIn groups, with group abbreviation following the group name. Closed groups denoted by (cl). Something strange is going on with Business Intelligence & Analytics Group (BI&A) where the number of members stayed at exactly 20,000 for the past month.
|LinkedIn Group||Members (Apr 20)||Founded||Members
|Advanced Business Analytics, Data Mining and Predictive Modeling (Adv BA)||76,150||28-Sep-07||1,125||2.18||1.82|
|Big Data / Analytics / Strategy / FP&A / S&OP ... (Big Data ASFSSP)||60,474||20-Feb-09||1,194||2.11||1.88|
|Business Analytics (Biz A)||39,851||3-Mar-08||638||1.19||1.12|
|Big Data and Analytics (Big Data & A)||39,560||1-Mar-12||2,860||3.64||1.82|
|Data Mining, Statistics, Big Data, and Data Vis (DM Stat)||21,705||25-Jul-08||376||2.63||3.87|
|Next Gen Market Research (NGMR)||21,277||26-Sep-07||314||4.69||2.34|
|Business Intelligence & Analytics Group (BI&A)||20,000||6-Jan-08||311||1.25||1.73|
|Global Analytics Network (Global A)||18,130||23-May-08||303||0.43||2.89|
|BIG DATA Professionals - Architects Scientists Analytics Experts (BD Prof)||17,808||1-Sep-08||316||2.92||4.88|
|SAS Analytics & BI (cl) (SAS A&BI)||16,858||25-Jun-08||287||0.96||1.52|
|Machine Learning Connection (cl) (ML Conn)||12,780||12-Mar-08||206||0.78||0.7|
|Actuary / Actuarial, Predictive Modeling, Data Mining, and Statistics (Actuary)||12,374||24-Sep-08||222||0.12||1.93|
|Research Methods and Analytics (RMA)||11,569||10-Apr-09||236||2.13||1.11|
|SAS & Analytics Users (SAS Users)||11,567||13-Apr-08||189||0.65||1.21|
|Text Analytics (Text A)||11,447||2-Jun-08||193||0.99||1.37|
|Pattern Recognition, Data Data Mining, Machine Intelligence (cl) (PR)||10,846||2-Oct-08||196||2.26||0.49|
|Data Science Central (DSC)||9,568||10-Feb-12||660||0.56||3.74|
|Advanced Analytics (cl) (Adv A)||7,809||11-Jan-09||150||0.75||3.4|
|Data & Text Analytics Professionals (D&TA Prof)||6,926||24-Sep-07||102||1.02||2.22|
|Visual Analytics (Visual)||6,094||31-Mar-08||99||1.19||2.42|
|Lavastorm Analytics Community Group (Lavastorm)||5,658||17-Apr-11||231||0.36||2.69|
|Advanced Analytics, Predictive Modeling & Statistical Analyses (cl) (Adv AP)||5,464||10-Jul-08||94||2.47||0.28|
|Predictive Analytics Network (PAN) (PAN)||4,692||16-Mar-09||94||0.97||6.71|
|Data Scientists (Dscientists)||3,621||8-Jun-09||77||3.48||6.16|
|Predictive Model Markup Language (PMML) (PMML)||3,236||24-Sep-09||74||0.23||0.16|
|Data Mining Technology (cl) (DMT)||3,213||20-Jun-08||55||0.63||1.19|
|KDnuggets Analytics and Data Mining (KDnuggets)||2,939||4-Feb-08||46||3.45||5.52|
|Healthcare Data Mining and Modeling (Healthcare)||2,463||11-Jul-08||42||0.21||0|
|Business Intelligence Tools (BI Tools)||2,289||2-Jul-08||39||0||3.97|
Comments from the Web
Eli Y. Kling
An excellent bit of insightful analysis. Good on you. My first reaction was to join all the groups listed. But that is missing the very good bit of insight presented here. Personally I do not care how many posts appear as there is a great deal of waffle and overlap. I will go for the one that generate conversations. Perhaps the next step is to look at the length of the threads.