Simon Jonathan Tuke

According to our database, Simon Jonathan Tuke authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic emotion and sentiment modelling of patient-reported experiences.

Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay

CoRR, 2024

2023

Personality Profiling: How informative are social media profiles in predicting personal information?

Joshua Watt, Jonathan Tuke, Lewis Mitchell

CoRR, 2023

2022

Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework.

Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay

CoRR, 2022

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

2021

Symptom Extraction from the Narratives of Personal Experiences with COVID-19 on Reddit.

Curtis Murray, Lewis Mitchell, Simon Jonathan Tuke, Mark Mackay

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

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

The one comparing narrative social network extraction techniques.

Michelle Edwards, Jonathan Tuke, Matthew Roughan, Lewis Mitchell

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

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

Estimating the Parameters of the Waxman Random Graph.

Matthew Roughan, Jonathan Tuke, Eric Parsonage

Proceedings of the Algorithms and Models for the Web Graph - 16th International Workshop, 2019

Podlab at SemEval-2019 Task 3: The Importance of Being Shallow.

Andrew Nguyen, Tobin South, Nigel G. Bean, Jonathan Tuke, Lewis Mitchell

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

A framework for streamlined statistical prediction using topic models.

Vanessa G. Glenny, Jonathan Tuke, Nigel G. Bean, Lewis Mitchell

Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2019

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

Rasch Analysis of HTTPS Reachability.

George Geoffrey Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush

Proceedings of the 17th International IFIP TC6 Networking Conference, 2018

GLaSS: Semi-supervised Graph Labelling with Markov Random Walks to Absorption.

Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel G. Bean

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Rigorous statistical analysis of HTTPS reachability.

George Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush

CoRR, 2017

2015

All networks look the same to me: Testing for homogeneity in networks.

Jonathan Tuke, Matthew Roughan

CoRR, 2015

Unravelling Graph-Exchange File Formats.

Matthew Roughan, Simon Jonathan Tuke

CoRR, 2015

The Hitchhikers Guide to Sharing Graph Data.

Matthew Roughan, Simon Jonathan Tuke

Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

2008

Bigfoot, sasquatch, the yeti and other missing links: what we don't know about the as graph.

Matthew Roughan, Simon Jonathan Tuke, Olaf Maennel

Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, 2008