I know lots of folks are talking about Monthly Active Users when it comes to health of the Fediverse.
We use that to compare social medias and even ourselves, a social network, to each other.
I argue we should be focused on user engagement. I know LinkedIn has “impressions”, but idk what that means.
So I wonder if there’s a good way to generate this. Someone posting is the highest, commenting, subscribing, liking, disliking, and follow on down. I guess that would be a statistical model? But with diminishing returns. One SUPER ACTIVE ANNOYING poster does not a network make, but “media” it does.
I don’t have a clue how this would work statistically. But I theorize, that while we’re smaller MAU, our user engagement is significantly higher when population size is accounted for.
Is there any data anyone knows of to back this up or disapprove it? I’m pro small.social though, so maybe I’m wrong. Any data scientists in the Fediverse? :-D


I was actually working on something to measure this today. I may have something for you tomorrow. Otherwise, it’ll probably be next week.
Update: I’ve gotten all the servers (Mbin, Piefed, Lemmy) and the stats for each (users, comments, posts). I’ll need to work to make that data into something useful.
Trivia: it takes about 6 minutes to request data from all ~300 servers.
Update 2: I found, I think, some interesting analyses (ex. retention efficiency, current vs. historical activity, etc.). Not sure how I’m going to fit 300 servers with 25-30 columns each in a post, though. Problem for next week.
Update 3: improved building the server list (now >500 servers) and found a couple more analyses that might be interesting. Working on the post script, finish tomorrow or Monday. Also, I’ve been grabbing the data daily so date/days could be another area of analysis.
Update 4: I have a plan for how to post the analysis, now just implementing it. May see the post tonight.
Exciting!
AWESOME! Please don’t hesitate to ping me! I’d love to share it when you’re ready. <3 :)