This project was inspired by Steph de Silva's UseR! 2018 Keynote.
Beyond Syntax: the power and potentiality of open source communities
With this keynote as context, I want to collect some or all the following datasets:
- R community twitter accounts and tweeting activity
- R community github accounts and projects, and collaboration activity
- R community email lists
- R community meetup membership/attendance
- R conference attendance (likely using Twitter hashtags)
- R organisation affiliation (rOpenSci, RStudio, R-core, etc)
And with these datasets I hope to use social network analysis to understand and describe the shape of the R community, and observe:
- changes in the shape of the community over time
- different approaches for newcomers looking to engage with the community
- topics that the community is excited about
- where the community is seeing the most growth
I will be blogging regularly about this project (blogs are part of the assessment criteria for UTS!) using the tag R Community.