Statistical computing and social network analysis with R: a modeling approach

Instruction by Armando Razo

(duration: 3h)

This workshop introduces participants to the R statistical programming environment with a modeling approach that serves as a foundation for more advanced Polnet workshops.

Specifically, participants will learn in six self-contained 30-minute modules:

  1. How to use R to model social systems: students will learn how to use R to model social systems (e.g., how model and measure individual attributes with sets, lists, and vectors; and how to model collections of individuals or societies with matrices and data frames).
  2. How to use R to manage and describe data. This component covers the basics of importing and exporting data, as well as an overview of descriptive statistics and statistical model formulae for regression analysis.
  3. Overview of R packages for data analysis. The workshop itself will use the sna and network modules and also provide a high-level overview of statnet and igraph package capabilities.
  4. How to import and export relational data. This component reviews the major formats of relational data and how these can be used within and outside R.
  5. How to describe SNA data. This component shows the basics of descriptive social network analysis (e.g., centrality scores, network-level statistics like density, etc.).
  6. How to visualize and describe SNA data.

What you will need

  • A computer with Internet access
  • An installation of R and RStudio
  • No previous background with R or social network analysis is required

Background Material

  1. Statistical software information, installation, and use
  2. How to model and analyze networks (conceptual readings)
  3. R Packages for network analysis

About the instructor

Armando Razo is Associate Professor of Political Science and a faculty affiliate at the Indiana University Network Institute. His teaching and research interests include comparative analysis of networks and institutions, game-theoretic and computational models of networks and collective action, and political economy of development.

Dates and Deadlines
April 1, 2014:
Workshop and presentation acceptance deadline
May 2, 2014:
Last day for early registration
May 28-30, 2014:
Workshops to be held
May 29-31, 2014:
Conference talks and panels