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 free webinars, organised by the UK Data Service, are a series of three on understanding and using SNA methods for social science research purposes.
Webinar one: Social Network Analysis: Fundamental Concepts
1 September 2020, 15.00 - 16.00 BST
In this webinar we cover the fundamental concepts and terms underpinning SNA, and demonstrate how network data is structured and differs from more traditional social science datasets (e.g. social surveys). We will also outline a simple analysis of social network data using the Python programming language. As a result of attending this webinar, participants will possess the necessary knowledge and vocabulary to undertake a SNA research project.
Webinar two: Social Network Analysis: Getting and Marshalling Data
15 September 2020, 15.00 - 16.00 BST
In this webinar we demonstrate how to collect and clean social network data. In particular, we draw on two sources of social network data:
* The social media platform Twitter, which allows restricted access to some of its data through an Application Programming Interface (API)
* Administrative data on UK charities, which is publicly available and can be repurposed for social network analysis
As a result of attending this webinar, participants will understand the steps necessary for collecting, cleaning and reshaping data for social network analysis.
Webinar three: Social Network Analysis: Techniques and Methods of Analysis
29 September 2020, 15.00 - 16.00 BST
In this webinar we define and demonstrate basic and intermediate methods of analysis, including measuring network size, density, cohesion, paths, structural holes and more. We also reference more advanced approaches (e.g. exponential random graph modelling, relational event modelling). As a result of attending this webinar, participants will understand how to make sense of and draw substantive insights from social network data.
View all UK Data Service events<https://www.ukdataservice.ac.uk/news-and-events/events.aspx>