This training session is delivered by Dr Clemens Jarnach for the GUDTP
Networks shape nearly every aspect of our lives, from the spread of ideas and diseases to the dynamics of friendship, crime, and power. This two-day workshop introduces the theory and practice of Social Network Analysis (SNA) using R, combining insights from sociology, data science, and computer science.
Participants will learn how to map, measure, and model networks using R. Through lectures, interactive analysis walk-throughs, and hands-on exercises, we will cover the fundamentals of graph theory, key network concepts, and the principles of visualising, modelling, and interpreting network structures.
By the end of the workshop, participants will understand how to collect and prepare network data, analyse patterns of connection, and design their own network-based research project. The course provides both the conceptual foundation and the practical skills to think critically about how networks shape our social world.
Pre-requisites: Participants should have basic programming skills in R. Familiarity with introductory statistics is encouraged but not required.
Class size: Limited to a maximum of 25 participants.
Spaces are limited so we cannot guarantee a place at the point of registration. Places will be allocated on a first-come, first-served basis, and once places are full, we will maintain a waiting list.
Those allocated a place will be informed by e-mail
Booking will open in mid-January
