Social Network Analysis in R

The Center for Analytics and Data Science Faculty Fellow Bootcamp Series is kicking off for Spring Semester.

Photo of Kevin Reuning
Kevin Reuning

Join Kevin Reuning, Center for Analytics and Data Science Faculty Fellow and assistant professor in Political Science, as he leads an activity-driven exploration of the (sometimes hidden) connections that link us as a society.

Over three consecutive Wednesday evenings in McVey 168, Reuning will help the audience take their knowledge of R and data analysis as it pertains to more traditional data sets and apply it to the interconnected web that is the foundation of a social networking modelling.

  • March 6th: Introduction to network terminology and data
  • March 13th: Visualizing networks
  • March 20th: Calculating basic network statistics

This entry in the CADS Faculty Fellow Boot Camp Series presumes at least some level of R proficiency and working knowledge of basic data analysis principles.  Due to the interactive nature of the exploration, please bring your laptop.

The Center for Analytics and Data Science is proud to be able to bring unique views into the arena of data science through its Faculty Fellow program.  Thanks to the wide variety of talent offered by these gifted academics, CADS is able to provide examples of data science principles as they apply to the research of an array of disciplines.  We thank all of our Faculty Fellows for their hard work and willingness to share.

If you have a topic that you would like to see covered as part of the Faculty Fellows Bootcamp Series, or any other question please contact the Center for Analytics and Data Science at