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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 selfcontained 30minute modules:
 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).
 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.
 Overview of R packages for data analysis. The workshop itself will use the sna and network modules and also provide a highlevel overview of statnet and igraph package capabilities.
 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.
 How to describe SNA data. This component shows the basics of descriptive social network analysis (e.g., centrality scores, networklevel statistics like density, etc.).
 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

Statistical software information, installation, and use
 "What is R?"
 A more extensive introduction is available at "An Introduction to R"
 "How to install R""
 GUI to facilitate analysis with R: RStudio Integrated Development Environment
 An interactive "Using R" tutorial to see how R works

How to model and analyze networks (conceptual readings)
 “Social Network Analysis: A Brief Introduction”
 Jackson, Matthew (2008), "Representing and Measuring Networks" in Social and Economic Networks. Princeton University Press.
 Hanneman, Robert A. and Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside

R Packages for network analysis
 Main R package demonstrated in Workshop: Statnet
 Tutorial on Social Network Analysis with SNA
 Tutorial on Network: a package for managing relational data in R
 A statnet tutorial
 Get started with R igraph
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, gametheoretic and computational models of networks and collective action, and political economy of development.