Thank you, Pedro.
Of course a complete analysis of all FIS message would be fantastic, but it
is almost impossible (at least without AI) :-)
But I certainly will do Bibliometric quantitative and qualitative measures
on FIS list in my PhD Thesis.
For that, a categorization is very important and the
Dear Moises and FIS Colleagues,
Thanks a lot for the curious exploration. On the one side, it is
"normal" finding such results in a session more or less devoted to the
info locality topic --what results would be obtained by peering into the
whole discussion sessions ( starting in 1998! See:
h
Errata: it was 72 TAGS and 54 messages.
Best,
Moisés
2015-11-01 15:27 GMT-02:00 Moisés André Nisenbaum <
moises.nisenb...@ifrj.edu.br>:
> Hi, dear FISers.
> I finished to classify and count the messages in last discussion topic.
> It was 72 messages from sep/09 to oct/18.
> I tagged each message
Hi, dear FISers.
I finished to classify and count the messages in last discussion topic.
It was 72 messages from sep/09 to oct/18.
I tagged each message in one or more momenta:
1) Philosophy (PHIL)
2) Biomolecular (primordials of life and cellular organization) (BIO)
3) Organismic and the Neuronal
