NETWORK ANALYSIS IN R

online, 27 -31 March 2023

This course will provide a complete guide to carrying out network analysis, from data collection to publishable results. The first two days cover networks as a data structure, talking about how to recognise them, make them from a dataset, convert them into analysable formats, and visualise them. The next three days expand on this foundation by talking about network modelling itself, going through the different options for analytical approaches and linking them with hypothesis testing.

This course will provide a complete guide to carrying out network analysis, from data collection to publishable results. The first two days cover networks as a data structure, talking about how to recognise them, make them from a dataset, convert them into analysable formats, and visualise them. The next three days expand on this foundation by talking about network modelling itself, going through the different options for analytical approaches and linking them with hypothesis testing. There will be several opportunities to introduce and use your own data, and therefore to develop plans for carrying out your own analyses. The course will be very interactive and will come with code, with a combination of quick quizzes, supervised sessions, independent hands-on sessions, and brief group discussions.

WORKSHOP FORMAT

There will be several opportunities to introduce and use your own data, and therefore to develop plans for carrying out your own analyses. The course will be very interactive and will come with code, with a combination of quick quizzes, supervised sessions, independent hands-on sessions, and brief group discussions.