Bigfoot, sasquatch, the yeti and other missing links: what we don't know about the as graph. - Matthew Roughan; Simon Jonathan Tuke; Olaf Maennel (Internet Measurement Conference, 2008)

The Hitchhikers Guide to Sharing Graph Data. - Matthew Roughan; Simon Jonathan Tuke (FiCloud, 2015)

Unravelling Graph-Exchange File Formats. - Matthew Roughan; Simon Jonathan Tuke (CoRR, 2015)

All networks look the same to me: Testing for homogeneity in networks. - Jonathan Tuke; Matthew Roughan (CoRR, 2015)

Rigorous statistical analysis of HTTPS reachability. - George Michaelson; Matthew Roughan; Jonathan Tuke; Matt P. Wand; Randy Bush (CoRR, 2017)

GLaSS: Semi-supervised Graph Labelling with Markov Random Walks to Absorption. - Max Glonek; Jonathan Tuke; Lewis Mitchell; Nigel G. Bean (COMPLEX NETWORKS (1), 2018)

Rasch Analysis of HTTPS Reachability. - George Geoffrey Michaelson; Matthew Roughan; Jonathan Tuke; Matt P. Wand; Randy Bush (Networking, 2018)

An induced natural selection heuristic for finding optimal Bayesian experimental designs. - David J. Price; Nigel G. Bean; Joshua V. Ross; Jonathan Tuke (Comput. Stat. Data Anal., 2018)

A framework for streamlined statistical prediction using topic models. - Vanessa G. Glenny; Jonathan Tuke; Nigel G. Bean; Lewis Mitchell (LaTeCH@NAACL-HLT, 2019)

Podlab at SemEval-2019 Task 3: The Importance of Being Shallow. - Andrew Nguyen; Tobin South; Nigel G. Bean; Jonathan Tuke; Lewis Mitchell (SemEval@NAACL-HLT, 2019)

Estimating the Parameters of the Waxman Random Graph. - Matthew Roughan; Jonathan Tuke; Eric Parsonage (WAW, 2019)

Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. - Max Glonek; Jonathan Tuke; Lewis Mitchell; Nigel G. Bean (Appl. Netw. Sci., 2019)

The one comparing narrative social network extraction techniques. - Michelle Edwards; Jonathan Tuke; Matthew Roughan; Lewis Mitchell (ASONAM, 2020)

Pachinko Prediction: A Bayesian method for event prediction from social media data. - Jonathan Tuke; Andrew Nguyen; Mehwish Nasim; Drew Mellor; Asanga Wickramasinghe; Nigel G. Bean; Lewis Mitchell (Inf. Process. Manag., 2020)

Symptom Extraction from the Narratives of Personal Experiences with COVID-19 on Reddit. - Curtis Murray; Lewis Mitchell; Simon Jonathan Tuke; Mark Mackay (ICWSM Workshops, 2021)

Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere. - Mehwish Nasim; Derek Weber; Tobin South; Jonathan Tuke; Nigel G. Bean; Lucia Falzon; Lewis Mitchell (CoRR, 2022)

Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework. - Curtis Murray; Lewis Mitchell; Jonathan Tuke; Mark Mackay (CoRR, 2022)

Personality Profiling: How informative are social media profiles in predicting personal information? - Joshua Watt; Lewis Mitchell; Jonathan Tuke (ALTA, 2024)

Probabilistic emotion and sentiment modelling of patient-reported experiences. - Curtis Murray; Lewis Mitchell; Jonathan Tuke; Mark Mackay (Artif. Intell. Medicine, 2025)

BREADR: An R Package for the Bayesian Estimation of Genetic Relatedness from Low-coverage Genotype Data. - Adam B. Rohrlach; Jonathan Tuke; Divya Ratan Popli; Wolfgang Haak (J. Open Source Softw., 2025)