Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science
We analyze Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. Overall activity drops about 25%, but membership growth accelerates in Q4 2013. We identify 4 group quadrants and find which groups are fastest growing and most active.
We update our
analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends.
First, we found that growth slowed down in 2013 Q3 but resumed in 2013 Q4 and 2014 Q1.
The Figure 1 (below) shows quarterly growth rates in top 30 groups. Except for two groups: Machine Learning and SAS & Analytics Users (not shown in Figure 1) which had big growth in 1 or 2 quarters and none in 2 other quarters, most groups show surprisingly similar pattern of decline in growth in 13Q3, followed by acceleration in 14Q1 and 14Q2.
Fig 1: Top Linked Analytics Groups, Quarterly Growth 2013Q2 to 2014Q1. Thick black line is the overall average growth rate.
Here are the 10 largest groups (by membership as of March 31, 2014). We note that 7 largest were in the same order as in Nov 2013. The 6 largest grew significantly faster than the next 4 groups.
However, there seems to be no strong correlation between group size and growth rate among all 30 groups.
Here are 10 groups with the fastest growth in the past 12 months (March 25, 2013 to March 31, 2014)
The chart below shows group growth vs group size. Color corresponds to age  redder is younger, bluer is older. Group name abbreviations are in the table below.
Fig 2: Top Linked Analytics, Big Data, Data Science Groups by 2014 size vs growth
There are 2 main measures of group activity: discussions (posts)/week and comments/week. Since these numbers clearly depend on the group size, we measure them per 1000 members. We measure overall group activity as (discussions + comments / week) per 1000 members.
For 4 months ending in March 2014, activity level was 2.99/week, about 25% less than 3.97/week measured in Nov 2013.
The chart below shows group activity vs group size. Color corresponds to age  redder is younger, bluer is older. Group name abbreviations are in the table below.
Fig 3: Top Linked Analytics, Big Data, Data Science Groups  2014 Activity vs Growth
In 4 month ending in March 2014 the average activity level was 2.03 discussion/week per 1K members, and 0.96 comments/week per 1K members, or about 2.1 discussions/comment, well below 2.57 discussions/week per 1K members and 1.40 comments/week per 1K members measured in Nov 2013 (1.8 discussions/comment). This means that the while activity has slowed down, the gap between discussions and comments has increased.
The chart below shows average comments/week vs average discussions/week for all 30 groups, with a circle size proportional to group size and circle color corresponding to activity change  green meaning increase, red decrease. We also show median lines for each dimension, which can be used to divide the groups in 4 quadrants.
Fig 4: 4 Quadrants of Top Linked Analytics, Big Data, Data Science Groups: Commenting vs Posting
Several groups stand out: KDnuggets has the highest number of discussions/1000 members, while RDM has a highest number of comments. The median line divide the groups in 4 quadrants, which we can characterize as
The details are in the table with below, with groups ordered by the number of members. The link to the raw data is at the end of the post.
The growth, comments, and discussions are in green font if that value is 25% above average,
in red if 25% below average, and in black otherwise.
We note that there are only 4 "triple green" groups, that are significantly above average on growth, comments, and discussions:
Note: You can get actual data from the HTML source code of the LinkedIn group Statistics/Activity page.
Look for dataset seriesName="Comments" and parse that data. Likewise for Discussions and Members.
Thanks to Anmol Rajpurohit for collecting the membership, comments, and discussions data.
Here is raw data (csv) for the top 30 LinkedIn groups.
See also Largest LinkedIn Groups to Join for Big Data, Data Science and Analytics, by Ted O'Brien, Aug 30, 2013.
Let me know which relevant groups were missed and what other trends you see.
First, we found that growth slowed down in 2013 Q3 but resumed in 2013 Q4 and 2014 Q1.
The Figure 1 (below) shows quarterly growth rates in top 30 groups. Except for two groups: Machine Learning and SAS & Analytics Users (not shown in Figure 1) which had big growth in 1 or 2 quarters and none in 2 other quarters, most groups show surprisingly similar pattern of decline in growth in 13Q3, followed by acceleration in 14Q1 and 14Q2.
Fig 1: Top Linked Analytics Groups, Quarterly Growth 2013Q2 to 2014Q1. Thick black line is the overall average growth rate.
Here are the 10 largest groups (by membership as of March 31, 2014). We note that 7 largest were in the same order as in Nov 2013. The 6 largest grew significantly faster than the next 4 groups.
 Advanced Business Analytics, Data Mining and Predictive Modeling: 121,816 (74% growth in 12 months)
 Big Data / Analytics / Strategy / FP&A / S&OP / Strategic Planning / Predictive & Business Analytics Group: 95,638 ( 82% growth)
 Big Data and Analytics: 74,350 (100%)
 Business Analytics: 53,345 (43%)
 Data Mining, Statistics, Big Data, and Data Visualization: 43,761 (116%)
 BIG DATA Professionals  Architects Scientists Analytics Experts: 30,792 (92%)
 Next Gen Market Research (NGMR): 23,368 (15%)
 SAS Analytics & BI (closed): 20,941 (32%)
 Business Intelligence & Analytics Group: 20,000 (4%)
 Global Analytics Network: 19,389 (11%)
However, there seems to be no strong correlation between group size and growth rate among all 30 groups.
Here are 10 groups with the fastest growth in the past 12 months (March 25, 2013 to March 31, 2014)
 RDataMining: 126%
 Data Mining, Statistics, Big Data, and Data Visualization: 116%
 Data Scientists: 114%
 Big Data and Analytics: 100%
 BIG DATA Professionals  Architects Scientists Analytics Experts: 92.5%
 Big Data / Analytics / Strategy / FP&A / S&OP / Strategic Planning / Predictive & Business Analytics Group: 82%
 Advanced Business Analytics, Data Mining and Predictive Modeling: 74%
 KDnuggets Analytics, Data Mining, and Data Science: 73%
 Predictive Analytics Network (PAN): 72%
The chart below shows group growth vs group size. Color corresponds to age  redder is younger, bluer is older. Group name abbreviations are in the table below.
Fig 2: Top Linked Analytics, Big Data, Data Science Groups by 2014 size vs growth
There are 2 main measures of group activity: discussions (posts)/week and comments/week. Since these numbers clearly depend on the group size, we measure them per 1000 members. We measure overall group activity as (discussions + comments / week) per 1000 members.
For 4 months ending in March 2014, activity level was 2.99/week, about 25% less than 3.97/week measured in Nov 2013.
The chart below shows group activity vs group size. Color corresponds to age  redder is younger, bluer is older. Group name abbreviations are in the table below.
Fig 3: Top Linked Analytics, Big Data, Data Science Groups  2014 Activity vs Growth
In 4 month ending in March 2014 the average activity level was 2.03 discussion/week per 1K members, and 0.96 comments/week per 1K members, or about 2.1 discussions/comment, well below 2.57 discussions/week per 1K members and 1.40 comments/week per 1K members measured in Nov 2013 (1.8 discussions/comment). This means that the while activity has slowed down, the gap between discussions and comments has increased.
The chart below shows average comments/week vs average discussions/week for all 30 groups, with a circle size proportional to group size and circle color corresponding to activity change  green meaning increase, red decrease. We also show median lines for each dimension, which can be used to divide the groups in 4 quadrants.
Fig 4: 4 Quadrants of Top Linked Analytics, Big Data, Data Science Groups: Commenting vs Posting
Several groups stand out: KDnuggets has the highest number of discussions/1000 members, while RDM has a highest number of comments. The median line divide the groups in 4 quadrants, which we can characterize as
 "Engaged" (above median on both comments and discussions): KDnuggets, Dscientists, PAN, DM Stat, RDM, Big Data & A, Adv BADM)
 "Posting" (above median on discussions, below median on comments): DSC, Global A
 "Commenting" (below median on discussions, above median on comments): NGMR, RMA/RMDS, PR
 "Passive" (below median on both comments and discussions)
The details are in the table with below, with groups ordered by the number of members. The link to the raw data is at the end of the post.
The growth, comments, and discussions are in green font if that value is 25% above average,
in red if 25% below average, and in black otherwise.
We note that there are only 4 "triple green" groups, that are significantly above average on growth, comments, and discussions:
 Data Mining, Statistics, Big Data, and Data Visualization
 Data Scientists
 RDataMining
 KDnuggets Analytics, Data Mining, and Data Science
LinkedIn Group  Members (Mar 31, 2014) 
Founded  12 mon Growth annua lized 
Cmt/ week per 1K mbr  Disc/ week per 1K mbr 

Average  23058  22Dec08  53%  0.96  2.03 
Advanced Business Analytics, Data Mining and Predictive Modeling (Adv BADM)  121816  28Sep07  74%  1.86  1.69 
Big Data / Analytics / Strategy / FP&A / S&OP / Strategic Planning / Predictive & Business Analytics Group (Big Data ASFSSP)  95638  20Feb09  82%  0.76  1.54 
Big Data and Analytics (Big Data & A)  74350  1Mar12  100%  1.97  1.86 
Business Analytics (Biz Analytics)  53345  3Mar08  43%  0.71  0.62 
Data Mining, Statistics, Big Data, and Data Visualization (DM Stat)  43761  25Jul08  116%  1.92  3.24 
BIG DATA Professionals  Architects Scientists Analytics Experts (BD Prof)  30792  1Sep08  92%  0.84  3.31 
Next Gen Market Research (NGMR) (NGMR)  23368  26Sep07  15%  2.13  1.28 
SAS Analytics & BI (closed) (SAS A&BI)  20941  25Jun08  32%  0.48  0.50 
Business Intelligence & Analytics Group (BI&A)  20000  6Jan08  4%  0.21  1.48 
Global Analytics Network (Global A)  19389  23May08  11%  0.22  1.91 
Machine Learning Connection (closed) (ML Conn)  19087  12Mar08  52%  0.78  0.53 
Pattern Recognition, Data Data Mining, Machine Intelligence (closed) (PR)  16297  2Oct08  60%  1.06  0.19 
SAS & Analytics Users (SAS Users)  15121  13Apr08  34%  0.22  1.20 
Actuary / Actuarial, Predictive Modeling, Data Mining, and Statistics News / Jobs / Careers Group (Actuary)  14930  24Sep08  28%  0.17  0.25 
Research Methods and Data Science (RMDS, former RMA)  14929  10Apr09  35%  1.05  1.29 
Text Analytics (Text A)  13947  2Jun08  27%  0.76  1.04 
Data Science Central (DSC)  13112  10Feb12  48%  0.64  3.45 
Advanced Analytics (closed) (Adv A)  12025  11Jan09  66%  0.98  2.51 
Visual Analytics (Visual)  8450  31Mar08  50%  0.81  1.80 
Data & Text Analytics Professionals (D&TA Prof)  8003  24Sep07  22%  0.32  1.35 
Predictive Analytics Network (PAN) (PAN)  7623  16Mar09  72%  0.90  5.79 
Advanced Analytics, Predictive Modeling & Statistical Analyses (closed) (Adv AP)  7278  10Jul08  41%  1.06  0.12 
Data Scientists (Dscientists)  7052  8Jun09  114%  2.18  6.72 
Lavastorm Analytics Community Group (Lavastorm)  6349  17Apr11  22%  0.08  0.66 
RDataMining (RDM)  4972  30Aug11  126%  2.88  2.63 
KDnuggets Analytics, Data Mining, and Data Science (KDnuggets)  4886  4Feb08  73%  2.57  9.68 
Data Mining Technology (closed) (DMT)  4034  20Jun08  33%  0.19  1.43 
Predictive Model Markup Language (PMML) (PMML)  3596  24Sep09  18%  0.32  0.23 
Healthcare Data Mining and Modeling (Healthcare)  3594  11Jul08  63%  0.63  0.75 
Business Intelligence Tools (BI Tools)  3044  2Jul08  42%  0.25  1.81 
Note: You can get actual data from the HTML source code of the LinkedIn group Statistics/Activity page.
Look for dataset seriesName="Comments" and parse that data. Likewise for Discussions and Members.
Thanks to Anmol Rajpurohit for collecting the membership, comments, and discussions data.
Here is raw data (csv) for the top 30 LinkedIn groups.
See also Largest LinkedIn Groups to Join for Big Data, Data Science and Analytics, by Ted O'Brien, Aug 30, 2013.
Let me know which relevant groups were missed and what other trends you see.
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