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

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

 

Lessons

Visualization tools

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

Small-world graphs

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