Coding Demonstrations: Social Network Analysis in Python
13 Jan 2021 - 27 Jan 2021 1:00 pm - 2:00 pm
Online
Training
Data skills
Other
Vast swathes of our social interactions and personal behaviours are now conducted online and/or captured digitally. Thus, computational methods for collecting, cleaning and analysing data are an increasingly important component of a social scientist’s toolkit. Social Network Analysis (SNA) offers a rich and insightful methodological approach for uncovering and understanding social structures, relations and networks of association.
These events, organised by the UK Data Service, introduce core SNA concepts and demonstrate some basic and advanced methods that can be customised to the needs of individual research projects.
Led by Dr Diarmuid McDonnell and Dr Julia Kasmire of the UK Data Service, January’s demonstrations address the following topics:
- Understanding and manipulating social network data – recording
- Techniques and methods of analysis for social network data – recording
Each code demo works through coding examples line-by-line, explaining the logical and programmatic aspects of the methods being demonstrated. During each session you will be able to run the code yourself in real time without any installation on your machine. Each demonstration uses the popular Python programming language and lasts for roughly 30 minutes, followed by up to 30 minutes for Q&A and other interaction.
This series is part of a wider training programme on computational social science.
View recordings of past UK Data Service events on our YouTube channel.