[Air-L] Mailinglist analysis with BigBang

[Niels ten Oever]

Hi all,

There is a lot of discussion on this list about the analysis of social
media, but you might also be interested in the analysis of mailinglists
(like this one!). If you want to do so, you could use the free and open
source tool BigBang for that. We just released a new version with which
you can do statistical, word, and network analysis in Jupyter notebooks.
The tool also helps you importing (lists of) mailinglists.

If you have comments, suggestions, or (research) questions, please let
us know. If you need some help setting up the tool, were also more than
happy to help.

Cheers,

Niels


Release blog post:
https://data-activism.net/2018/07/bigbang-v0-2-0-tulip-revolution-released/

Website:
http://datactive.github.io/bigbang/

Github:
https://github.com/datactive/bigbang

Mailinglist:
https://lists.ghserv.net/mailman/listinfo/bigbang-user

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](http://datactive.github.io/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 start analyzing mailinglists with BigBang by
following the [installation
instructions](https://github.com/datactive/bigbang).

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](https://lists.ghserv.net/mailman/listinfo/bigbang-user),
join us on [gitter
chat](https://gitter.im/datactive/bigbang?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
or [file an issue](https://github.com/datactive/bigbang/issues) 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!

-- 
Niels ten Oever
Researcher and PhD Candidate
Datactive Research Group
University of Amsterdam

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