Discussions up, Engagement down, Top LinkedIn Groups for Analytics, Big Data, Data Science
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 continue our analysis of Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. Last month we examined growth from groups "Big Bang" in 2008 to present and in this part we look at activity - comments, discussions, and engagement.
Our key findings
- as groups grow, discussions increase, comments decline - surprisingly even in absolute numbers (!)
- engagement (comments/discussions) slows down
- Open groups are twice as active, in both comments and discussions
- We identify 4 group quadrants: Active, Commenting, Posting, Passive
- Most active groups: KDnuggets,
Data Scientists,
Data Science & Machine Learning,
Big Data and Analytics,
RDataMining
Next chart shows comments and discussions per group, for each 12 months period, from Q2 2009 to Q1 2015.
We note that while the total number of discussions is growing, the total number of comments actually started to decline in 2013, despite the growth in membership. The big gap between the average and the median values shows the wide range in activity levels between the groups.
We can see the trends more clearly if we measure the comments and discussions per week and per 1000 members.
We can see the trends more clearly if we measure the comments and discussions per week and per 1000 members.
Fig. 2: Top LinkedIn Analytics, Big Data, Data Mining, Data Science Groups,
Comments & Discussions per week per 1000 members
Note that LinkedIn group statistics only give discussion counts starting around June 2010, while comment counts are available starting from Sep 2008.
The discussion numbers per member were growing and peaked in 2012, with the launch of 2nd cluster of Big Data groups in 2012 (some of them were very active), but both discussions and activity levels are declining after 2012.
An important factor is group openness. 20 of the top 35 groups are open, and open groups have over twice as many comments (median 0.59) and discussions (median 1.61) as closed groups.
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9 年I observe that many do not have time or do not take time to comment. In my own feed, it seems that "LIKE" a discussion or a topic is enough to be visible