Lecture1.pdf Class introduction by examples

Lecture2-Notes.pdf Degree distributions

Lecture3.pdf Scale free networks

Lecture4.pdf Centrality measures

Lecture-5-Notes.pdf Clustering and components

Lecture6.pdf Generative models 1.

Lecture7.pdf Generative models 2.

Lecture8.pdf Generative models 3.

Lecture9.pdf Generative models 4.

Lecture10 this lecture was based on the Complex system modeling with a grain of sand handout (paper by Willinger et al.)

Lecture11.pdf System modeling, constrained optimization, and sampling bias

Lecture12-13.pdf Community Detection

Lecture14.pdf Graphical Models

Lecture15.pdf Graphical Models