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.
Sounds cool. Given that it will be from 2 - 8 PM Berlin time, and not remembering who participates in Daylight Savings Time or when the switch occurs, I found it easiest to use chatGPT to translate the hours: "On March 27, if it is 2 PM in Berlin Germany, what time would it be in [my location]?". So bizarre :)
Or one can simply use: https://dateful.com/time-zone-converter
Cheers!