All Courses
EE766 Postgraduate

Random Graphs : Theory and Applications

Credits
6
Type
Theory
Lecture
3 hr
Half sem
No

Course Content

Erdos-Renyl Graphs, basic structural properties, emergence of giant connected component and full connectivity, applicationsRandom Geometric Graphs, structural and connectivity properties, applications.Scale-free and small-world networks, generative models and properties, applicationsRandom processes on graphs, such as random walks, epidemic spread, and opinion dynamics.

Text / References

  1. 1 Bela Bollabas, Random Graphs, Cambridge, 2001A.Frieze and M.Karonski, Introduction to Random Graphs, Cambridge, 2016M.Franceschetti and R. Meester, Random Networks for communication, Cambridge, 2008.R.Van der Hofstad, Random Graphs and complex Networks, 2016.