Archival and analysis of #GI2013 Tweets

November 4, 2013
By

(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)

I archived and analyzed all Tweets containing #GI2013 from the recent Cold Spring Harbor Genome Informatics meeting, using my previously described code.

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 on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series













Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)