136070 UE Networks in Literature Studies (2024W)

The method of network analysis originally comes from sociology, but has been transferred to numerous other areas, so that it has almost become an interdisciplinary field of research in its own right. Network research has received a particularly strong boost from the possibilities offered by digital methods for the creation, analysis and visualisation of networks. In the digital humanities in particular, it has become a fundamental method that has been applied in numerous studies from a wide range of cultural studies disciplines.

At first glance, the possibilities of visualising datasets seem particularly attractive, but networks - as graph structures - are also particularly good for calculations. In addition, networks follow a basic data model that can be used to interoperably link large collections.

The exercise first presents the basics of network analysis and prominent application examples from the digital humanities. Then the methodological basics of evaluating network analyses are explained and finally hands-on tools and Python packages for creating network analyses are tested. The competences are acquired and consolidated through active participation in the exercise and by completing a small project (on own or provided material).

What will be learnt?

- Knowledge of basic methods and concepts of network analysis
- Knowledge of DH-specific application examples of network analysis
- Basic skills in the application and calculation of networks
- Skills in the application of tools and packages for network analyses in the DH
- Expertise in creating and reflecting on a small research-led network project.

Please bring your own laptop (with internet access) for the practical work! Previous knowledge of programming (Python) is not required, but is of course an advantage.