Join us for a public lecture from Emeritus Professor Philippa Pattison (University of Sydney and University of Melbourne). Light refreshments will be served afterwards.
Zoom details available on event website for those attending remotely.
In this lecture Prof. Pattison describes 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, Prof Pattison explains 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. She also points to ways in which the current modelling suite can advance our understanding of some important social outcomes and then touches briefly on active areas of further model development.
About Prof. Philippa Pattison, The University of Sydney and The University of Melbourne.
Pattison’s research focuses on the development and application of mathematical and statistical models for social networks and network processes. Her work has broad application, from tracking the spread of infectious diseases to following the recovery of communities after the 2009 Victorian bushfires.
She has published several books, numerous book chapters, scholarly papers and is also a regular invited speaker to international conferences. In 1995 Pattison was elected a Fellow of the Academy of the Social Sciences in Australia and in 2014 Pattison was awarded Professor Emeritus from the University of Melbourne. She is a Fellow of the Royal Society of New South Wales.
Pattison was named on the Queen’s Birthday 2015 Honours List as an Officer of the Order of Australia for distinguished service to higher education, particularly the study of social network modelling, analysis and theory.
