The Library as Data: Social Network Analysis in the Correspondence Collection Archive New
Description
Correspondence collections are a unique window into the social networks of prominent historical figures. With the digitisation and encoding of personal letters, researchers have at their disposal a wealth of relational data, which can be studied using social network analysis.
This session will introduce and demonstrate foundational concepts, methods and tools in social network analysis using datasets prepared from the Darwin Correspondence collection. Topics covered will include
- Explanation of the encoding procedures and rationale following the Text Encoding Initiative guidelines
- Preparation and transformation of .xml files for analysis with an open source data wrangler
- Rendering of network visualisations using an open source SNA tool
No knowledge of prior knowledge of programming is required, instructions on software to install will be sent out before the session
Target audience
PhD Students and Staff
Themes
Events available