In this blog, the aim is to understand engagement of users on Facebook groups. Facebook groups are created to target audience or fellow members with a “relevant” message. Group members could be targeted for
- Building brand or creating awareness
- Sharing blogs or gaining audience for a website
- Indirect product or services selling
- Building profile by sharing knowledge
The group members get a relevant update for them to be aware of the latest development, learn about various techniques & applications, and get help from the fellow members specially on Data Science and Analytics Applications.
We had written a blog on “How to extract Facebook data using R?”. We are using data from following Facebook groups for the analysis.
- R Programming
- Big Data, Hadoop, NoSQL, Analytics News
- Big Data Analytics, Decision Science, Predictive Analytics, Cloud Computing
- SAS - Statistical Analysis System
- SAS Programmers
Facebook Group Members
One of the first level of information about these groups are number of members. Of course more number of members indicates that the group is attracted many Facebook users, the subject of the user group is relevant to today’s context and the group has been active for sometime.
High level summary of number of members of these groups
Number of member levels shows that SAS is very much relevant and a lot of members (you) are engaging on the Facebook groups. Big Data & Analytics are emerging topics of the interest. R is gain momentum. Of course, there are a few caveats with these points. The points are driven based on only these groups and there will be a lot of groups and a lot more social media platforms beyond Facebook.
4403 posts have been published in this group by 1199 members. Around 10% users have contributed toward the posts. And the top 10 members and their contributions are as follow.
SAS - Statistical Analysis System
Over 1970 posts have been published by 382 users. Only 8% users have posted in this group. This group seems to have a low level of member activities. Top 10 contributors are
Seems to be same set of users posting each of the above groups.
This group has lowest number of users, and the most important very low level of activities. Only 474 posts by 233 users.
Big Data, Hadoop, NoSQL, Analytics News
It is one of the biggest group. 5890 posts by 763 members, so significantly higher average posts per member. Top contributors have significantly higher share in posting (10 members contributing to over 20% of the posts).
Big Data Analytics, Decision Science, Predictive Analytics, Cloud Computing
This is one of the most active Facebook groups. It has around 3465 members and 275 (around 8%) members have posted in the group. Top contributors are
Some of the top contributors are common between above two groups.
In the next series of the blogs, we will try to understand - "Member Engagement - Likes,Shares and Comments", and "What type of topics/keywords are more prominent in the posts?".