Big Data and Analytics became the largest group. Overall engagement rates decline, but liking a post is 6.5 times more common than commenting. Machine Learning & Data Science, KDnuggets, and Data Scientists have the highest engagement levels.
Unlike last year, we did not have the full data on conversations and comments, but we used the data on the latest 200 conversations in each group to estimate these rates per week.
The overall picture, shown in Fig. 3 below, showing continuing decline in average member engagement, from about 1.93 discussions per 1000 members per week in 2015 to 1.17 in 2016, and from 0.55 comments per 1000 members per week in 2015 to only about 0.17 in 2016. So on average, only about 1 in 5,900 group members makes comments, and there is probably an active core of the group which makes most of the comments.
Liking a post is 6.5 times more frequent than commenting - there are on average 1.11 Likes per week per 1000 members.
Here is the global trend.
Fig. 3: Top LinkedIn Analytics, Big Data, Data Science groups
Discussions & Comments per week per 1000 members from 2009 to 2016
We can also analyze the groups separately by mapping into quadrants along the axes of Conversations/week/1K members and Engagement/week/1K members, where Engagement is defined as Comments + Likes.
Fig. 4: Top LinkedIn Analytics, Big Data, Data Science groups - Engaged, Commenting, Posting, and Passive Circle size corresponds to group size, and color to membership growth rate in 2016 (redder - faster growth, blue - decline).
Here are the 10 groups with the highest Engagement
Fig. 5: Top LinkedIn Analytics, Big Data, Data Science groups
Top 10 groups with the highest engagement (comments + likes)
Machine Learning and Data Science, 4.75
Data Scientists, 4.00
Data Science Central, 2.60
Data Science & Machine Learning, 2.05
Big Data and Analytics, 1.92
IBM Big Data and Analytics, 1.51
RDataMining: R and Data Mining, 1.40
Big Data | Analytics | Strategy | Finance | Innovation, 1.32
Text Analytics, 1.31
Finally, here is the table with all the group information.
Table 3: Top LinkedIn Analytics, Big Data, Data Mining, and Data Science groups, 2016 Q1 Conv/wk /1k mbr: Conversations/week per 1000 members, Oct 2016
Eng/wk /1k mbr: Engag/week per 1000 members, Oct 2016