Naomi Arnold

I am Naomi Arnold, a PhD student within the Networks group in the School of Electronic Engineering and Computer Science at Queen Mary University of London. My supervisors are Richard Clegg and Raul Mondragon. My research interests are broadly in modelling different social and information systems as evolving graphs. Specific areas of interest to me are:

  • Network growth models: model selection and changepoint detection.
  • Tools for temporal networks.

I maintain the FETA (Framework for Evolving Topology Analysis) codebase with Richard Clegg, which can be used for generating graphs from different growth models, and for model selection (paper describing the background and process here).

I am a Teaching Fellow at the QMUL School of EECS, delivering some of the Digital Media and Social Networks course, as well as running the Data Analytics microcredential module, supervising MSc projects and providing Java support for first year students.

I am also a contributor to the Raphtory software for the analysis of temporal graphs.


February 2021

January 2021

November 2021

  • I am now a Teaching Fellow at the School of EECS, QMUL! :tada:

October 2020

September 2020

January 2020

  • Two posters accepted at Complenet 2020: “Changing the tune: mixtures of network models that vary in time” and “What window works? The effect of varying temporal depth when analysing social network user interactions”.
  • This year I will be teaching part of the Digital Media and Social Networks course at QMUL.

October 2019

July 2019

May 2019

  • Attending the NetSci conference in Burlington, Vermont.

February 2019

October 2018

September 2018

August 2018

July 2018