(Introduction to) Network Analysis 2025/26

Week Date Lectures Labs Coursework
1 Feb 16th Course motivation, graph theory vs network science, graphology / (lack of material)
2 Feb 23rd Networkology, network representations & data, Erdos-Renyi model Recitation on NetworkX library, Pajek format etc. Homework #1 out
3 Mar 2nd Configuration model, small-world networks & model, scale-free structure Network representations, basic network algorithms
4 Mar 9th Scale-free networks & preferential attachment models, course projects Advanced network algorithms, random graph models
5 Mar 16th Node position & measures of centrality, link analysis algorithms Small-world & scale-free models, graphs vs networks
6 Mar 23rd Link importance & measures of bridging, networks in science, selected applications Measures of node centrality, PageRank algorithm Homework #1 due
7 Mar 30th Community structure, community detection & graph partitioning Node similarity, link betweenness, errors & attacks Homework #2 out
8 Apr 6th Node equivalence & blockmodeling, core-periphery structure / (consultations)
9 Apr 13th Node mixing in networks, fragments & frequent subgraphs Community structure & detection, benchmark graphs
10 Apr 20th Network sampling & comparison, backbones & (convex) skeletons Blockmodeling & block models, \(k\)-core network decomposition
11 Apr 27th / (vacation) / (vacation) Homework #2 due
12 May 4th Node layout & network visualization, selected applications, course challenges Node mixing by (not) degree, graphlet degrees
13 May 11th Network inference & link prediction indices, graph machine learning Random-walk sampling, network comparison measures
14 May 18th Selected applications & research topics, course wrap-up, invited talks (tentative) Board with pegs & bands, wiring diagrams, block models
15 May 25th ? (placeholder) Node embeddings & classification, link prediction Course project due
16 Jun 1st / (semester ends) Selected analyses, review & examples of final exam