From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers via e-mail.
Social network research develops through contributions from many scientific disciplines. Among others, scholars of sociology, psychology, political science, computer science, physics, mathematics, and statistics have advanced theories and methods in this field - promoting multiple perspectives on important problems. This course aims to present and structure open debates in social network research.
Research on social networks has developed as a highly interdisciplinary field. By the end of this seminar, students will be able to identify and compare different discipline- and subject-specific approaches to social network research (coming from, e.g., sociology, psychology, political science, computer science, physics, mathematics, and statistics). They will be familiar with recent publications in the field of social networks and be able to critically participate in a number of open debates in the field. Among others, these debates are centered around the types and measurement of social relations across different contexts, the importance of simple generative processes in shaping network structure, the role of social selection and influence mechanisms in promoting segregation and polarization, and the development of statistical models for the analysis of dynamic networks.