ECE398BD: Network Analytics (Lectures)

Lectures

Lecture 1	Introduction to the course; Representing Networks as Graphs	[slides]
Lecture 2	Rumor Source Detection	[slides]
Lecture 3	Rumor Centrality via Message Passing	[slides]
Lecture 4	Jordan Centrality via Message Passing	[slides]
Lecture 5	Introduction to Community Detection	[slides]
Lecture 6	The Min-Bisection and Min-Cut Algorithms
Lecture 7	Semi-Definite Programming for Efficient Community Detection