Please note that due to the current situation, participation in our on-site training events is restricted. You can find further information here.
Introduction to Network Analysis with R
Dr. Markus Gamper, Dr. Raphael H. Heiberger
Date: 26.11 - 27.11.2020 ics-file
Location: Cologne / Course language: English
Attention: Due to the currently constantly changing situation due to Covid-19, there is a possibility that the course may have to be held online at short notice! We would inform you about any changes two weeks in advance.
This workshop provides an introduction into theoretical concepts as well as methods of data collection and analysis for social networks with R. The first day is dedicated to definitions and terminologies, influential models and their importance for the empirical collection of network data. We investigate several examples of research (data) and reflect on suitable research questions and requirements of research designs in the process of collecting data. Various approaches are discussed, along with the potential drawbacks and biases of the resulting measures. We also provide examples for network questions from traditional survey questionnaires. In addition, we will analyze social networks with the open-source software R. We start with introducing two of the most popular packages for SNA in R, “igraph” and “statnet”. After understanding relevant objects and packages' organization, we describe the intuition behind structural and positional network metrics, such as density, centrality, or modularity, and practice their calculation as well as their visualization.
After completion of this workshop, participants should be able to 1) cite and critically reflect the relevant key literature on social networks, 2) develop a research design aimed at collecting quantitative complete network data with the help of name generators, and 3) analyze positional and structural characteristics of networks using a R.
Participants should possess a general affinity toward social science theory. Participants should also be open to acquainting themselves with quantitative methods. However, no advanced statistical knowledge is required.
You will receive workshop PCs with the required software packages on site. You are also welcome to bring your own laptops. To pull data onto your devices, please bring USB sticks with you. You have free WiFi access.