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 |
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Lecture Notes
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