1 
Feb 19th 
Networks motivation, graph theory vs network science, graphology 
Recitation on NetworkX library, Pajek format etc. 

2 
Feb 26th 
Networkology, network representations & data, ErdosRenyi model 
Network representations, basic network algorithms 
Homework #1 out 
3 
Mar 4th 
Configuration model, smallworld networks & model, scalefree networks 
Advanced network algorithms, random graph models 

4 
Mar 11th 
Scalefree networks & preferential attachment models, course projects 
Smallworld & scalefree models, graphs vs networks 

5 
Mar 18th 
Node position & measures of centrality, link analysis algorithms 
Measures of node centrality, PageRank algorithm 

6 
Mar 25th 
Link importance & measures of bridging, network perspectives, some applications 
Link betweenness, node similarity, errors & attacks 
Homework #1 due 
7 
Apr 1st 
Community structure, community detection & graph partitioning 
Community structure & detection, coursework consultations 
Homework #2 out 
8 
Apr 8th 
Node equivalence & blockmodeling, coreperiphery structure 
Blockmodeling & block models, \(k\)core network decomposition 

9 
Apr 15th 
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10 
Apr 22nd 
Node mixing in networks, fragments & frequent subgraphs 
Node mixing by (not) degree, graphlet degrees 

11 
Apr 29th 
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Homework #2 due 
12 
May 6th 
Network sampling & comparison, backbones & (convex) skeletons 
Randomwalk sampling, network comparison 

13 
May 13th 
Node layout & network visualization, course challenges, some applications 
Wiring diagram & block models, coursework consultations 

14 
May 20th 
Network inference & link prediction, graph machine learning 
Node embeddings & classification, link prediction 

15 
May 27th 
Selected applications & research topics, tentative invited talks 
(Q&A) 
Course project due 