Digital Methods and Transformation: Applied Social Network Analysis

Digital technologies are increasingly permeating the way we work, live, and think. A crucial aspect of the digital transformation lies in the ever increasing amount of data that is being produced about individuals and organizations alike. Big data is the keyword to characterize the unprecedented volume, velocity, and variety of data being produced in the digital age. Increasingly, organizations are harnessing the power of big data through data mining and analytics. Gaining insights from big data can be challenging and requires specialized knowledge, also in data and network visualization. This course will equip students with a set of analysis techniques to make sense of data in a visual way. A focus will be on social network analysis to study relational data, identify influential nodes in a network, and distinguish communities.

Course leader

Christian Fieseler
Christoph Lutz

Target group

Eligible applicants must have a completed degree comparable to a bachelor’s degree. Students are expected to have taken classes in statistics and have working knowledge of MS Excel and SPSS.

Course aim

After taking this summer school course, students will

- understand digital transformation better
- be equipped with the concepts to analyse relational dynamics of social and digital media effectively
- have the methodological tools at hand to analyse social networks from a range of data
- be able to interpret network visualisations and articles using social network analysis appropriately

Credits info

6 EC
6 ECTS

Fee info

NOK 10000: Tuition
NOK 1800: Social activities fee. NB: All students must pay the social activities fee.

Scholarships

Students from partner universities who provide documentation, will receive a 30% tuition fee reduction.