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lucasrodes / whatstk

WhatsApp chats as dataframes. Python toolkit to analyse and parse WhatsApp chats.
https://whatstk.lcsrg.me/
GNU General Public License v3.0
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Consider system messages #26

Closed kafran closed 2 months ago

kafran commented 6 years ago

I think we shouldn't discard system messages. It has useful information as "who added who" whose could be used in a network analysis. It also has information when users enter and leaves, it could answer the question: how long users stay in the group? Or calculate a turnaround rate.

Whatsapp is used as a work tool, truly communities of practices exist in the whatsapp's ecosystem. Understanding the human behavior in those groups could help to understand the human behavior related to the 'domain' of these communities.

The literature says a community of practice consists of a joint enterprise, mutual engagement, and a shared repertoire (WENGER, 1998).

WENGER, E. Communities of practice: Learning, meaning, and identity. Cambridge University Press, 1998. (Learning in Doing: Social, Cognitive and Computational Perspectives). ISBN 9780521430173. DOI: 10.1017/CBO9780511803932.

lucasrodes commented 6 years ago

That is a really good input @kafran. I totally agree with you. System message information has not been exploited so far, it is definitely an open issue. Let's leave this for the second release of whatstk. I will be defining the releases soon in the milestones sections.