Please join for a public lecture from Emeritus Professor Philippa Pattison (University of Sydney and University of Melbourne).
In this lecture I describe how mathematical approaches have been used to build understanding of the structure of human social networks and their properties. Social networks can reflect social and economic ties of many types, such as who-socialises-with-whom, who-collaborates-with-whom, or who-offers-credit-to-whom. Starting with the simplest assumption of a social network as a random graph, I explain how the interplay between mathematical and empirical studies of networks has led to progressively more sophisticated and effective models. A number of case examples illuminate the trajectory of model development and illustrate that a key to successful progress has been to allow for endogenous local processes in the formation and dissolution of network ties. I also point to ways in which the current modelling suite can advance our understanding of some important social outcomes and then touch briefly on active areas of further model development.
For further information, please visit the lecture's website.