DATACTIVE has been collaborating with researchers from New York University and the University of California at Berkeley to release version 0.2.0 of the quantitative mailinglists analysis software BigBang. Mailinglists are among the most widely used communication tools in Internet Governance institutions and among software developers. Therefore mailinglists lend themselves really well to do analysis on the development of the communities as well as topics for discussion and their propagation through the community. BigBang, a python based tool, is there to facilitate this. You can start analyzing mailinglists with BigBang by following the installation instructions.
This release, BigBang v0.2.0 Tulip Revolution, marks a new milestone in BigBang development. A few new features:
– Gender participation estimation
– Improved support for IETF and ICANN mailing list ingest
– Extensive gardening and upgrade of the example notebooks
– Upgraded all notebooks to Jupyter 4
– Improved installation process based on user testing
En route to this milestone, the BigBang community made a number of changes to its procedures. These include:
– The adoption of a Governance document for guiding decision-making.
– The adoption of a Code of Conduct establishing norms of respectful behavior within the community.
– The creation of an ombudsteam for handling personal disputes.
We have also for this milestone adopted by community decision the GNU Affero General Public License v3.0.
If you have any questions or comment, feel free to join the mailinglist,
join us on gitter chat or file an issue on Github.
If you are interested in using BigBang but don’t know where to start, we are happy to help you on your way via videochat or organize a webinar for you and your community. Feel free to get in touch!