• Project Mosaic

• July 18 (Part 1), July 20 (Part 2), and July 27 (Part 3)

• 9:30 am - 12:30 pm

• Kennedy 234

• Ryan Wesslen

This three part workshop series will cover three major tools for computational social scientist toolkit to analyze social media data. In addition to hands-on working materials, each workshop will include 2-3 important research papers and GitHub repositories.

Many of the tools were created by political scientists and therefore most examples will focus on political-related events although they can easily be applied to other social sciences (e.g., geography, communications, management, sociology, public health).

This workshop assumes you have basic knowledge of how to :

• Set your working directory
• Install R packages via CRAN
• Handle R dataframes with tidyverse packages like ggplot, dplyr, and readr
• rmarkdown knowledge

It's ok if you're not familiar with these tools, but if you are not, please look over Brooke Anderson's helpful R Introduction Slides. This is the introduction to her great R Programming for Research Workshop Materials, which I strongly suggest if you're looking for R introduction materials.

You will need R and RStudio installed on your laptop.

Also, please install these packages by running this code:

packages <- c("tidyverse","Rfacebook","twitteR","streamR","rmarkdown","devtools",
              "quanteda","stm","tidytext","tidyr","wordcloud","reshape2",
              "rvest","Unicode","pairsD3","stringr","igraph","edgebundleR",
              "doMC","glmnet","topicmodels","LDAvis")

install.packages(packages)

To download the materials, please click the "Clone or Download" button in the top right of this page. Then save the materials as a zip file onto your computer (e.g., Desktop).