Shadow networks: Discovering hidden nodes with models of information flow. - James P. Bagrow; Suma Desu; Morgan R. Frank; Narine Manukyan; Lewis Mitchell; Andrew J. Reagan; Eric E. Bloedorn; Lashon B. Booker; Luther Karl Branting; Michael J. Smith 006; Brian F. Tivnan; Christopher M. Danforth; et al. (CoRR, 2013)

The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place - Lewis Mitchell; Kameron Decker Harris; Morgan R. Frank; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2013)

Happiness and the Patterns of Life: A Study of Geolocated Tweets - Morgan R. Frank; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2013)

Human language reveals a universal positivity bias. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2014)

Constructing a taxonomy of fine-grained human movement and activity motifs through social media. - Morgan R. Frank; Jake Ryland Williams; Lewis Mitchell; James P. Bagrow; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2014)

Standing Swells Surveyed Showing Surprisingly Stable Solutions for the Lorenz '96 Model. - Morgan R. Frank; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth (Int. J. Bifurc. Chaos, 2014)

The Lexicocalorimeter: Gauging public health through caloric input and output on social media. - Sharon E. Alajajian; Jake Ryland Williams; Andrew J. Reagan; Stephen C. Alajajian; Morgan R. Frank; Lewis Mitchell; Jacob Lahne; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Climate change sentiment on Twitter: An unsolicited public opinion poll. - Emily M. Cody; Andrew J. Reagan; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2015)

Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2015)

A data-driven model for influenza transmission incorporating media effects. - Lewis Mitchell; Joshua V. Ross (CoRR, 2016)

The emotional arcs of stories are dominated by six basic shapes. - Andrew J. Reagan; Lewis Mitchell; Dilan Kiley; Christopher M. Danforth; Peter Sheridan Dodds (EPJ Data Sci., 2016)

Which friends are more popular than you?: Contact strength and the friendship paradox in social networks. - James P. Bagrow; Christopher M. Danforth; Lewis Mitchell (ASONAM, 2017)

The Nature and Origin of Heavy Tails in Retweet Activity. - Peter Mathews; Lewis Mitchell; Giang Nguyen 003; Nigel G. Bean (WWW (Companion Volume), 2017)

Information flow reveals prediction limits in online social activity. - James P. Bagrow; Xipei Liu; Lewis Mitchell (CoRR, 2017)

The quoter model: a paradigmatic model of the social flow of written information. - James P. Bagrow; Lewis Mitchell (CoRR, 2017)

SMERC: Social media event response clustering using textual and temporal information. - Peter Mathews; Caitlin Gray; Lewis Mitchell; Giang T. Nguyen 003; Nigel G. Bean (IEEE BigData, 2018)

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

Event Detection in Twitter: A Keyword Volume Approach. - Ahmad Hany Hossny; Lewis Mitchell (ICDM Workshops, 2018)

Super-blockers and the Effect of Network Structure on Information Cascades. - Caitlin Gray; Lewis Mitchell; Matthew Roughan (WWW (Companion Volume), 2018)

Real-time Detection of Content Polluters in Partially Observable Twitter Networks. - Mehwish Nasim; Andrew Nguyen; Nick Lothian; Robert Cope; Lewis Mitchell (WWW (Companion Volume), 2018)

Network structure inhibits information cascades in heavy-tailed social networks. - Caitlin Gray; Lewis Mitchell; Matthew Roughan (CoRR, 2018)

Characterising seasonal influenza epidemiology using primary care surveillance data. - Robert Cope; Joshua V. Ross; Monique Chilver; Nigel P. Stocks; Lewis Mitchell (PLoS Comput. Biol., 2018)

Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study. - Ahmad Hany Hossny; Terry Moschuo; Grant Osborne; Lewis Mitchell; Nick Lothian (Soc. Netw. Anal. Min., 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)

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)

Generating connected random graphs. - Caitlin Gray; Lewis Mitchell; Matthew Roughan (J. Complex Networks, 2019)

How the Avengers assemble: Ecological modelling of effective cast sizes for movies. - Matthew Roughan; Lewis Mitchell; Tobin South (CoRR, 2019)

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

A method to evaluate the reliability of social media data for social network analysis. - Derek Weber; Mehwish Nasim; Lewis Mitchell; Lucia Falzon (ASONAM, 2020)

#ArsonEmergency and Australia's "Black Summer": Polarisation and Misinformation on Social Media. - Derek Weber; Mehwish Nasim; Lucia Falzon; Lewis Mitchell (MISDOOM, 2020)

Complex Contagion Features without Social Reinforcement in a Model of Social Information Flow. - Tyson Pond; Saranzaya Magsarjav; Tobin South; Lewis Mitchell; James P. Bagrow (Entropy, 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)

Feature selection methods for event detection in Twitter: a text mining approach. - Ahmad Hany Hossny; Lewis Mitchell; Nick Lothian; Grant Osborne (Soc. Netw. Anal. Min., 2020)

Bayesian Inference of Network Structure From Information Cascades. - Caitlin Gray; Lewis Mitchell; Matthew Roughan (IEEE Trans. Signal Inf. Process. over Networks, 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)

Popularity and centrality in Spotify networks: critical transitions in eigenvector centrality. - Tobin South; Matthew Roughan; Lewis Mitchell (J. Complex Networks, 2021)

Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts. - Ryan J. Gallagher; Morgan R. Frank; Lewis Mitchell; Aaron J. Schwartz; Andrew J. Reagan; Christopher M. Danforth; Peter Sheridan Dodds (EPJ Data Sci., 2021)

Exploring the effect of streamed social media data variations on social network analysis. - Derek Weber; Mehwish Nasim; Lewis Mitchell; Lucia Falzon (Soc. Netw. Anal. Min., 2021)

#IStandWithPutin Versus #IStandWithUkraine: The Interaction of Bots and Humans in Discussion of the Russia/Ukraine War. - Bridget Smart; Joshua Watt; Sara Benedetti; Lewis Mitchell; Matthew Roughan (SocInfo, 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)

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

The entropy rate of Linear Additive Markov Processes. - Bridget Smart; Matthew Roughan; Lewis Mitchell (CoRR, 2022)

Information flow estimation: A study of news on Twitter. - Tobin South; Bridget Smart; Matthew Roughan; Lewis Mitchell (Online Soc. Networks Media, 2022)

Promoting and countering misinformation during Australia's 2019-2020 bushfires: a case study of polarisation. - Derek Weber; Lucia Falzon; Lewis Mitchell; Mehwish Nasim (Soc. Netw. Anal. Min., 2022)

Rank Is All You Need: Robust Estimation of Complex Causal Networks. - Cameron Cornell; Lewis Mitchell; Matthew Roughan (COMPLEX NETWORKS (3), 2023)

Simple models are all you need: Ensembling stylometric, part-of-speech, and information-theoretic models for the ALTA 2024 Shared Task. - Joel Thomas; Gia Bao Hoang; Lewis Mitchell (ALTA, 2024)

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

Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization. - Indu Bala; Dikshit Chauhan; Lewis Mitchell (GECCO Companion, 2024)

Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism. - Wathsala Karunarathne; Indu Bala; Dikshit Chauhan; Matthew Roughan; Lewis Mitchell (CoRR, 2024)

Community Detection of Complex Network Based on Graph Convolution Iterative Algorithm. - Jiaqi Yao; Lewis Mitchell (CoRR, 2024)

Rank is all you need: development and analysis of robust causal networks. - Cameron Cornell; Lewis Mitchell; Matthew Roughan (Appl. Netw. Sci., 2024)

Machine learning-based analysis of adverse events in mesh implant surgery reports. - Indu Bala; Thu-Lan Kelly; Ty Stanford; Marianne H. Gillam; Lewis Mitchell (Soc. Netw. Anal. Min., 2024)

Modeling Channel Attenuation in Hybrid Optical/E-Band System. - Siu-Wai Ho; Lewis Mitchell; Vince Wang (IEEE Trans. Wirel. Commun., 2024)

Performance Analysis: Discovering Semi-Markov Models From Event Logs. - Anna A. Kalenkova; Lewis Mitchell; Matthew Roughan (IEEE Access, 2025)

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

Vector autoregression in cryptocurrency markets: unraveling complex causal networks. - Cameron Cornell; Lewis Mitchell; Matthew Roughan (J. Complex Networks, 2025)

Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe). - Cameron Cornell; Lewis Mitchell; Matthew Roughan (CoRR, 2025)

Discovering Coordinated Processes From Social Online Networks. - Anna A. Kalenkova; Lewis Mitchell; Ethan Johnson (CoRR, 2025)