Patrick is an OII DPhil student interested in complex networks, wikis, computational social science, social network analysis, data de-anonymization, machine learning.
Patrick Gildersleve is a student on the DPhil in Information, Communication & the Social Sciences.
Patrick graduated with a Masters in Physics (MPhys) from Oxford in 2016, his masters project focusing on de-anonymizing economic network data based on patterns of firm activity . In his DPhil research he will be studying the structure and evolution of networks of pages on Wikipedia, particularly in detecting patterns of evolution in response to real world events. HE is interested in how aspects of this network evolution may be characterised and categorised depending on the nature of the events, as well as what this tells us about both the events and people’s reactions to them.
Complex networks, wikis, computational social science, social network analysis, data de-anonymization, machine learning.
Positions held at the OII
- DPhil student, October 2016 –
Supervisors at the OII
Computational Romance: Understanding How Online Dating Has Evolved Over the Past Ten Years Through Large Scale Data Analysis
Participants: Dr Taha Yasseri, Rachel Dinh, Patrick Gildersleve
In this project, we examine the preferences, patterns of interactions, and communication between male and female users of the online dating site eHarmony over the past ten years to understand the evolution of online dating.
7 December 2018
When it comes to online dating, singles only have the capacity to effectively communicate with around seven new people per week, even though they might have access to hundreds of potential ‘matches’.
5 October 2018 MIT Technology Review
Everyone hoped that online dating would level the playing field for men and women looking for partners. But instead, the latest data-mining study suggests it has become more asymmetric than ever.