Social Networks and Big Data Methods (Summer 2026)

Schedule (Tentative)

Date Topic Slides
14.04.2026 (14:00-16:00) Introduction; Intro to graph theory
21.04.2026 (14:00-16:00) Random networks; Edges vs social ties
28.04.2026 (14:00-16:00) Triads and structural balance; From social processes to graphs
05.05.2026 (14:00-16:00) Homophily and degree correlation (parts 1 & 2)
12.05.2026 (14:00-16:00) Power and centrality in social networks; social exchange
19.05.2026 (14:00-16:00) Detecting communities; Structural equivalence
26.05.2026 (14:00-16:00) Affiliations and overlapping subgroups
02.06.2026 (14:00-16:00) Midterm exam
09.06.2026 (14:00-16:00) Network Analysis of Open Source Software; Visualization
16.06.2026 (14:00-16:00) Scale-free networks; Network inequality
23.06.2026 (14:00-16:00) Small-world networks; Social Capital (part 1)
30.06.2026 (14:00-16:00) Social Capital (part 2); Diffusion and contagion
07.07.2026 (14:00-16:00) Ethical issues; Exemplary studies
14.07.2026 (14:00-16:00) Guest lecture
21.07.2026 (14:00-16:00) Final Project Presentations
TBA Written Examination