Biography

Bridget Smart is a DPhil student at the University of Oxford’s Mathematical Institute, under the supervision of Professor Renaud Lambiotte and Professor Doyne Farmer. Her research brings tools from information science, network science and statistics together to build, characterise and assess models to capture emergence and complexity in real-world systems.

She holds a MPhil (Applied Mathematics and Statistics) and a B.Math Sciences (Advanced) from the University of Adelaide. Previously, Bridget worked to model and understand information flows on online social networks, constructing tools to better understand our online landscapes.

Recent Publications

Apr 2024
Journal
The entropy rate of Linear Additive Markov Processes
in PLOS one
Bridget Smart ,  Matthew Roughan ,  Lewis Mitchell
Oct 2022
Conference Paper
#IStandWithPutin Versus #IStandWithUkraine: The Interaction of Bots and Humans in Discussion of the Russia/Ukraine War
Bridget Smart ,  Joshua Watt ,  Sara Benedetti ,  Lewis Mitchell ,  Matthew Roughan
Sept 2022
Journal
Information flow estimation: A study of news on Twitter
in Online Social Networks and Media
Tobin South ,  Bridget Smart ,  Matthew Roughan ,  Lewis Mitchell
View All Related Publications

Recent Events

13 Jun 25
@13:00
INET RGB
13 Jun 24
@12:00

INET Oxford Summer Research Meeting 2024

The event is open to all INET Oxford researchers, staff, visitors, and associate members

In Person Event
INET RGB

Programme Teams