7 September 2022

Introductory Crash Course on Network Analysis that RICH is organizing. During this short course, Nina de Boer will provide you with an introduction to the field of network analysis, which will hopefully help you along the way when you are starting a project in network analysis or simply want to learn more about the rationale behind this method.

  1. Tuesday, September 20th
  2. Thursday, September 22nd
  3. Tuesday, September 27th

Each day, the session will take place from 13.00 – 15.00 at the Radboud Universiteit.

The content of the sessions will be as follows:

Session 1: Network analysis – The foundations. In this session, we will discuss some of the basics of network analysis. What are its historical and theoretical foundations, why could it be of use (for your particular discipline), and what kind of information can network models provide that other types of models cannot?

Session 2: Network analysis in R. In this session, we will go through the steps (and decisions) that are required to estimate and visualize networks in R. The focus will be on the estimation of networks in the human sciences (e.g., psychology), but the content will be general enough so that it is applicable to those that work in other disciplines as well. For this session, it may be useful to have some basic knowledge of R (what is an object, what is a matrix, et cetera). You can find plenty of free R tutorials online, but I would recommend the tutorial provided by Datacamp.

 Session 3: Q&A. During this session, we will discuss the remaining questions that came up during the previous sessions and specific questions that you may have regarding the projects you are working on. We will try to solve these questions together.

Send an e-mail to register: hitomi@radboud-complexity.com.