[This article was first published on Revolutions, 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.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Springer has introduced a new open, peer-reviewed journal focused on Data Science: EPJ Data Science.
What makes this a Data Science journal is novel uses of statistics, data analysis, computer techniques and public data sources to research a topic in another domain, rather than methodological research. Here are a few examples of the papers you'll find in the journal:
- A confirmation of the "Pollyanna Hypothesis" that we use more positive words than negative words (and so negative sentiments carry more weight than positive ones).
- An analysis of the Love Parade disaster, using photographs, satellite images, and public documents to investigate the causes that led to 21 deaths in a 2010 crowd panic in Germany.
- An analysis of politically-active Twitter users users that reveals that Republicans in 2008 had a more tightly-connected social network that was more effective at broadcasting political material on Twitter.
Unsurprisingly, many of the articles use the R language for the underlying analysis and data visualization. And because this is an open journal, you're free to read any of the articles at the link below.
To leave a comment for the author, please follow the link and comment on their blog: Revolutions.
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.