Jonathan Tuke

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Markov Random Walk

Personal Experiences

Top Venues

Inf. Process. Manag.

Publications

Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay
Probabilistic emotion and sentiment modelling of patient-reported experiences. CoRR (2024)
Joshua Watt, Jonathan Tuke, Lewis Mitchell
Personality Profiling: How informative are social media profiles in predicting personal information? CoRR (2023)
Mehwish Nasim, Derek Weber, Tobin South, Jonathan Tuke, Nigel G. Bean, Lucia Falzon, Lewis Mitchell
Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere. CoRR (2022)
Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay
Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework. CoRR (2022)
Michelle Edwards, Jonathan Tuke, Matthew Roughan, Lewis Mitchell
The one comparing narrative social network extraction techniques. ASONAM (2020)
Jonathan Tuke, Andrew Nguyen, Mehwish Nasim, Drew Mellor, Asanga Wickramasinghe, Nigel G. Bean, Lewis Mitchell
Pachinko Prediction: A Bayesian method for event prediction from social media data. Inf. Process. Manag. 57 (2) (2020)
Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay
Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit. CoRR (2020)
Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel G. Bean
Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. Appl. Netw. Sci. 4 (1) (2019)
Matthew Roughan, Jonathan Tuke, Eric Parsonage
Estimating the Parameters of the Waxman Random Graph. WAW (2019)
Vanessa G. Glenny, Jonathan Tuke, Nigel G. Bean, Lewis Mitchell
A framework for streamlined statistical prediction using topic models. CoRR (2019)
Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel G. Bean
Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. CoRR (2019)
Andrew Nguyen, Tobin South, Nigel G. Bean, Jonathan Tuke, Lewis Mitchell
Podlab at SemEval-2019 Task 3: The Importance of Being Shallow. SemEval@NAACL-HLT (2019)
Vanessa G. Glenny, Jonathan Tuke, Nigel G. Bean, Lewis Mitchell
A framework for streamlined statistical prediction using topic models. LaTeCH@NAACL-HLT (2019)
George Geoffrey Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush
Rasch Analysis of HTTPS Reachability. Networking (2018)
Jonathan Tuke, Andrew Nguyen, Mehwish Nasim, Drew Mellor, Asanga Wickramasinghe, Nigel G. Bean, Lewis Mitchell
Pachinko Prediction: A Bayesian method for event prediction from social media data. CoRR (2018)
David J. Price, Nigel G. Bean, Joshua V. Ross, Jonathan Tuke
An induced natural selection heuristic for finding optimal Bayesian experimental designs. Comput. Stat. Data Anal. 126 (2018)
Michelle Edwards, Lewis Mitchell, Jonathan Tuke, Matthew Roughan
The one comparing narrative social network extraction techniques. CoRR (2018)
Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel G. Bean
GLaSS: Semi-supervised Graph Labelling with Markov Random Walks to Absorption. COMPLEX NETWORKS (1) (2018)
George Michaelson, Matthew Roughan, Jonathan Tuke, Matt P. Wand, Randy Bush
Rigorous statistical analysis of HTTPS reachability. CoRR (2017)
Jonathan Tuke, Matthew Roughan
All networks look the same to me: Testing for homogeneity in networks. CoRR (2015)