Dear all,

I am currently working a research project on social media interaction. As a part of this project, mostly for teaching purposes, I should develop a R-based approach for real-time visualisation of streamed data (from Twitter).


My idea is simple (and working :) ): A Python-script stream Twitter for selected keywords/hashtags/users and redirects the output as JSON in a text file. My R-script reads the new entries from this text file every 5-10 minutes, process the input and updates network and other graphical presentations.

Thus far everything is working fine. However, I would like to have the possibility to work with my data when my script is sleeping. I just wonder whether a simple 'mcparallel({ Sys.sleep(300); TRUE})' (from 'parallel') would solve my problem? Or is there something I have to take into account when using 'parallel'?

My R environment runs on Linux, so forking should work...

Best regrads and thanks in advance,
Kimmo

--
Åbo Akademi University, Finland
Dep. for German studies

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to