Awesome, can't wait to see all that you come up with @Bauke! And speaking of stats, some more internally tracked ones would be cool to see too. *wink* *wink* *nudge* *nudge* @Deimos. ;)
Awesome, can't wait to see all that you come up with @Bauke! And speaking of stats, some more internally tracked ones would be cool to see too. *wink* *wink* *nudge* *nudge* @Deimos. ;)
Comments posted daily, maybe weighted based on if it's one user making 30 comments or 30 individual users. Also, amount of comments/posts per subgroup? The most frequent tags?
Comments posted daily, maybe weighted based on if it's one user making 30 comments or 30 individual users.
Also, amount of comments/posts per subgroup? The most frequent tags?
Histogram of time between subsequent comments from a user. That is: from a user's profile, how far apart in time are the comments? Might have to do some cleaning up of the plot to focus in on the...
Histogram of time between subsequent comments from a user. That is: from a user's profile, how far apart in time are the comments?
Might have to do some cleaning up of the plot to focus in on the interesting tail end of that distribution.
Well, assuming your data looks something like [(timestamp, username, otherstuff)] for all the comments on tildes (or all the comments made during a specific timespan).. Just filter by users, so...
Well, assuming your data looks something like [(timestamp, username, otherstuff)] for all the comments on tildes (or all the comments made during a specific timespan).. Just filter by users, so that it looks like [(username, [timestamp])].
Now for each user:
Sort the timestamps chronologically and then compute the delta between adjecent ones. Collect all the deltas from all the users and chuck them into your favorite histogram tool.
Activity per hour (i.e., the number of topics or comments submitted between 00:00 UTC and 01:00 UTC across days, then between 01:00 and 02:00 and so on), with further filtering by group. Activity...
Activity per hour (i.e., the number of topics or comments submitted between 00:00 UTC and 01:00 UTC across days, then between 01:00 and 02:00 and so on), with further filtering by group.
Activity per time per user. As for per-user statistics, who is going to be able to see it (the user in question, users with elevated privileges, other users, non-logged-in lurkers)? As the access to user pages is limited for those not logged in, I would suggest that per-user statistics should not be available in that case.
P.S. Thanks a lot, though the graphs are a bit depressing…
Little activity with no upward trend. However, a lot of activity in 2018 took place in ~tildes and ~tildes.official, so maybe the same graphs for the site excluding the meta groups would look more...
Little activity with no upward trend. However, a lot of activity in 2018 took place in ~tildes and ~tildes.official, so maybe the same graphs for the site excluding the meta groups would look more optimistic.
Number of users posting at least one comment/post in a timeframe (say a week)?
Awesome, can't wait to see all that you come up with @Bauke! And speaking of stats, some more internally tracked ones would be cool to see too. *wink* *wink* *nudge* *nudge* @Deimos. ;)
How about subscribers to ~tildes.official over time? Seems like that'd be a fairly good indicator of total userbase.
Comments posted daily, maybe weighted based on if it's one user making 30 comments or 30 individual users.
Also, amount of comments/posts per subgroup? The most frequent tags?
Histogram of time between subsequent comments from a user. That is: from a user's profile, how far apart in time are the comments?
Might have to do some cleaning up of the plot to focus in on the interesting tail end of that distribution.
Well, assuming your data looks something like [(timestamp, username, otherstuff)] for all the comments on tildes (or all the comments made during a specific timespan).. Just filter by users, so that it looks like [(username, [timestamp])].
Now for each user:
Sort the timestamps chronologically and then compute the delta between adjecent ones. Collect all the deltas from all the users and chuck them into your favorite histogram tool.
I can whip up a python script if you like.
Activity per hour (i.e., the number of topics or comments submitted between 00:00 UTC and 01:00 UTC across days, then between 01:00 and 02:00 and so on), with further filtering by group.
Activity per time per user. As for per-user statistics, who is going to be able to see it (the user in question, users with elevated privileges, other users, non-logged-in lurkers)? As the access to user pages is limited for those not logged in, I would suggest that per-user statistics should not be available in that case.
P.S. Thanks a lot, though the graphs are a bit depressing…
Yes, this plus the same thing for the hours alone (regardless of the day of week).
Little activity with no upward trend. However, a lot of activity in 2018 took place in ~tildes and ~tildes.official, so maybe the same graphs for the site excluding the meta groups would look more optimistic.
Amount of comments deleted by authors vs. moderated.