1 
Feb 13th 
Networks motivation, graph theory vs network science, graphology 
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2 
Feb 20th 
Networkology, network representations & data, ErdosRenyi model 
Recitation on NetworkX library, Pajek format etc. 
Homework #1 out 
3 
Feb 27th 
Configuration model, smallworld networks & model, scalefree networks 
Network representations, basic network algorithms 

4 
Mar 6th 
Scalefree networks & preferential attachment models, some applications 
Advanced network algorithms, random graph models 

5 
Mar 13th 
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/ 
Homework #1 due 
6 
Mar 20th 
Node position & measures of centrality, link analysis algorithms 
Smallworld & scalefree models, graphs vs networks 

7 
Mar 27th 
Link importance & measures of bridging, perspectives & course projects 
Measures of node centrality, PageRank algorithm 
Homework #2 out 
8 
Apr 3th 
Community structure, community detection & graph partitioning 
Link betweenness, node similarity, errors & attacks 

9 
Apr 10th 
Node equivalence & blockmodeling, coreperiphery structure 
(coursework consultations) 

10 
Apr 17th 
Node mixing in networks, fragments & frequent subgraphs 
Community detection, blockmodeling with block models 
Homework #2 due 
11 
Apr 24th 
/ 
\(k\)core decomposition, node mixing by (not) degree 

12 
May 1st 
Network sampling & comparison, backbones & skeletons 
(coursework consultations) 

13 
May 8th 
Node layout & network visualization, network epidemics, some applications 
Graphlet degrees, randomwalk sampling, network comparison 

14 
May 15th 
Network inference & link prediction, graph machine learning 
Wiring diagram & block models, PageRank & betweenness challenge 

15 
May 22nd 
Applications of network analysis, (tentative) invited talks 
Node embeddings & classification, link prediction 
Course project due 
16 
May 29th 
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(Q&A) 
