Information networks

This lecture presents formal methods to quantify the dynamics of corruption through modeling basic features of the structure and function of complex networks. It overviews the statistical way of thinking about social and technological networks.

We are caught in an inescapable network of mutuality … Whatever affects one directly, affects all indirectlyMartin Luther King Jr.

Instructor: Jorge Finke

Office hours: we 11:00-1:00 p.m.

Level: graduate

TA: TBD

OVERVIEW

Week Lectures
1 Lec 1 - Introduction to information networks
2 Lec 2 - Common structural properties (part 1)
3 Lec 3 - Common structural properties (part 2)
4 Lec 4 - Common structural properties (part 3)
5 Lec 5 - Visualization tools
6 Lec 6 - Generalized random graphs
7 Lec 7 - Small-world graphs
8 Lec 8 - Scale-free networks
9 Lec 9 - Models of network growth
10 Lec 10 - Percolation theory and network dynamics
11 Lec 11 - Epidemic processes on networks
12 Lec 12 - Dynamics of corruption
13 Lec 13 - Course review
14 Project presentations

 

Lessons

List of lectures

5. Visualization tools

Network visualization tools; mathematical models of networks (part 1): poisson random graphs.

7. Small-world graphs

Small-world graphs; effect of small-world properties on dynamics (e.g., spread of corruption).