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Introduction to Network Models (M-I-T)

(18 Lectures Available)


S# Lecture Course Institute Discipline
1 Course speci fics, motivation, and intro to graph theory (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
2 Introduction to graph theory  (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
3 Strong and weak ties, triadic closure, and homophily (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
4 Centrality measures (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
5 Centrality and web search, spectral graph theory (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
6 Spectral graph theory, spectral clustering, and community detection I (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
7 Spectral graph theory, spectral clustering, and community detection II (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
8 Network models I  (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
9 Network models II  (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
10 Network models III (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
11 Con figuration model and small-world graphs (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
12 Growing networks  (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
13 Linear dynamical systems (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
14 Markov chains / Information spread and distributed computation (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
15 Learning and herding (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
16 Epidemics  (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
17 Introduction to game theory I (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences
18 Introduction to game theory II / Application of game theory to networks (M-I-T) Introduction to Network Models (M-I-T) MIT Applied Sciences

of 1 18 Lectures Available.