Identifying Fedora Contributors - Stats for Flock

Identifying Fedora Contributors - Stats for Flock

Quoting the Fedora Wiki :

Flock is an annual conference for Fedora contributors to come together, discuss new ideas, work to make those ideas a reality, and continue to promote the core values of the Fedora Community: Freedom, Friends, Features, and First.

I was working on generating statistics for Flock this week. Bhagyashree (bee2502), my GSoC mentor, had delivered a talk on Fedora Contributors and Newcomers Onboarding and I was assigned the task of generating statistics of the whole Fedora Community. At first thought, this was a pretty hectic thing to do. To accomplish this, I will need data of all the contributors from the beginning of fedmsg -i.e from 2012. And, I will have to find when a user had signed up for a FAS account and track his/her activity. Phew!

Now let's crunch the numbers :

Estimating Users :

Fedora Badges Statistics

It was pretty simple, the Fedora Badges front-end (Tahrir) suggested that there were around 41,000 FAS Accounts which fedmsg was tracking and had logged into the badges website. I assumed that if an account was to be of a contributor, he/she should have logged into the badges system. Okay, so I have the count, what now?

Making sense out of the mess :

I fired up my tool and added an extra element to it, i.e : the topic field of the requests (as and set the --start and --end to match the starting and ending date of every year.

In simple terms, I am pulling the usernames of all those people who made their FAS account in between the years 201x - 201(x+1) (from 2012 to 2016), one year at a time. This will give me the total count of FAS accounts made every year. I could have just taken the count value from the JSON for this, but I needed the usernames for later. Along with this, I also dumped the usernames into a file in the format {username : timestamp_of_creation} into a file.

It looked something like this. I did this for all the years until I had 2012.json to 2016.json.

This gave me the count of FAS accounts being made every year - and with some pygal magic, I got this :

Right click and select View Image for an interactive graph
Yearwise FAS Accounts

Pull, pull, pull :

Now that we have the usernames and the timestamp of creation, we can check if the user was active for a certain period or not. I did this by pulling the data of a user with the --start and the --end arguments in 3 different ways.

1) Check if the user was active immediately, for that - the --start was set as T1 = (time of account creation) and end was set as T2 = (time of account creation + timedelta of 2 weeks).

If the user had count > 10, then the user was checked if the user was active between T2 and T2 + time delta of one month. If the user did not have any, a variable called slow_start was set to True for that user and was subsequently checked for 6+ months activity. Why? Because, there are a lot of people who created a FAS account early and started contributing after an year or so. Again, if count was less than 0, then the user was marked inactive. If the user had activity during this period, he/she was marked as a slow starter. And this is what I got after running the script :

Identifying long-term and short-term contributors :

The following set of rules were set followed for differentiating users :

Users considered inactive :

1) Users who have less than 10 fedmsg activity count 2) Users who have only created FAS 3) Users who made very few wiki edits + created a FAS account 4) not_category was set as fedbadges for such messages - so that the fedmsg activity won't exceed 10.

Users considered short term :

1) Users who have activity < 3 months. 2) People who have considerable amount of fedmsg activity and don't have any activity after a month. 3) not_category is again set as fedbadges here.

Users considered long term:

1) Users who have 3+ months of activity 2) Even if a user hasn't contributed in 6 months after creating the FAS account and then has considerable amount of fedmsg activity after another 6 months or an year. 3) Don't call it a comeback badge is considered

After running this, I ended up with the following graph:

Right click and select View Image for an interactive graph

All this ended up in Flock in the form of a presentation and not to mention, had a good sleep after crunching up the stats :)