Statnet workshops
Our workshops provide hands-on training in social network analysis with R and statnet. We teach the main workshops at least once each year at one of the INSNA related conferences – Sunbelt, North American Social Networks, and European Union Social Networks meetings. All of our workshop materials are posted online and the links can be found on this page.
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These are the materials you need if you are participating in one of our formal workshops.
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But this site is also designed to be used for self-guided learning: detailed instructions for getting started, tutorials with lots of examples, and downloadable scripts for reproducing these examples on your own computer.
The links are organized by workshop category. If you know the workshop you want, you can navigate to it using the links on the left sidebar. Otherwise, scroll down and you will find a bit more information about each.
Please check this site periodically for updates and announcements.
Getting started
You’ll need to install R and one or more of the statnet packages. Which of the packages you install depends on what type of network analysis you have planned. Some basic information on the package functionality and purpose can be found on the “About” page.
We recommend also installing and using the Rstudio application/environment, but all of the tutorial examples and scripts can also be run from the standard R console.
For basic instructions on getting started, see:
If you have additional questions, please see the Help page for the best way to reach us.
Workshop materials
Basic introduction
Introduction to SNA tools in R A comparative survey workshop of the main R packages used for network data management, analysis, and visualization.
statnetWeb: A browser-based GUI for network analysis with statnet An introduction to our Shiny app for point-and-click network analysis with statnet.
Cross-sectional (static) network modeling
Exponential Random Graph Models (ERGMs) using statnet Introduction to Exponential-family Random Graph Models (ERGMs) for statistical analysis and simulation of social networks.
Advanced ERGMs using statnet Model specification with advanced ergm features and extension packages, including multi-level network analysis with the ergm.multi package.
ERGMs for egocentrically sampled network data using statnet Analyzing egocentrically sampled data with Exponential-family Random Graph Models.
Modeling Valued Networks with statnet Introduction to modeling social networks with ties that have weights (e.g., counts of interactions) or are ranks (i.e., each actor ranks the others according to some criterion).
Temporal network modeling
Temporal network exploratory tools in statnet: networkDynamic, ndtv and tsna Introduction to exploratory analysis and visualization of temporal network data.
Temporal Exponential Random Graph Models (TERGMs) for dynamic network modeling in statnet Introduction to the estimation and simulation of dynamic networks with Temporal Exponential-family Random Graph Models (TERGMs).
Relational Event Models with relevent Introduction to the analysis of relational event data: actions, interactions, or other events involving multiple actors that occur over time.
In Silico Experiments with relevent Introduction to the use of in silico experiments to study relational event models; builds on the basic relevent workshop.
Additional modeling tools
Extending ERGM Functionality with statnet: Building Custom User Terms with ergm.userterms How to write your own custom ERGM terms.