MA320      Half Unit
Mathematics of Networks

This information is for the 2025/26 session.

Course Convenor

Availability

Requisites

Pre-requisites:

Before taking this course, students must have completed: (MA100 or MA108) and (MA102 or MA103)

Globalisation and the growth of the internet have meant not only an increasing need to understand the way in which social and communication networks form and operate, but also an unprecedented amount of data available to aid in this analysis. The last decade has seen a coming together of multiple scientific disciplines in an effort to understand how these highly connected systems function. The aim of this course will be to give an introduction to the study of networks, requiring as little background knowledge as possible. The course will begin with an analysis of some of the fundamental properties normally observed in real world networks, such as the small world property, high degrees of clustering and power law degree distributions. After reviewing required notions from game theory, we shall then apply these techniques to an analysis of the spread of behavioural change on networks, together with cascading effects and epidemic models. The final part of the course will be concerned with specific applications to the world wide web and page ranking.

20 hours of lectures and 10 hours of classes in the Autumn Term.

Written answers to set problems will be expected on a weekly basis.

(1) D. Easley, J. Kleinberg. Networks, crowds and markets, Cambridge University Press, 2010.  
(2) M. Newman. Networks: An Introduction, Oxford University Press, 2010.

(3) The Rise of the Network Society, The Information Age: Economy, Society and Culture, 2010 edition, Manuel Castells.

Exam (100%), duration: 120 Minutes in the Spring exam period