Archival and analysis of #GI2013 Tweets
[This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I archived and analyzed all Tweets containing #GI2013 from the recent Cold Spring Harbor Genome Informatics meeting, using my previously described code.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Friday was the most Tweeted day. Perhaps this was due to Lior Pachter’s excellent keynote, “Stories from the Supplement.”
There was clearly a bimodal distribution in the Tweets by hour, corresponding to the morning and evening sessions:
Top hashtags used other than #GI2013:
Most prolific users:
And of course, the much-maligned word cloud:
Archive of all #GI2013 Tweets
R code for analysis
To leave a comment for the author, please follow the link and comment on their blog: Getting Genetics Done.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.