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11/10/2022
The entropy rate of Linear Additive Markov Processes
This work derives a theoretical value for the entropy of a Linear Additi...
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10/09/2022
Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework
Understanding patient experience in healthcare is increasingly important...
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06/29/2022
Performance Analysis: Discovering Semi-Markov Models From Event Logs
Process mining methods and tools are largely used in industry to monitor...
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05/12/2022
Information flow estimation: a study of news on Twitter
News media has long been an ecosystem of creation, reproduction, and cri...
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01/10/2022
Promoting and countering misinformation during Australia's 2019-2020 bushfires: A case study of polarisation
During Australia's unprecedented bushfires in 2019-2020, misinformation ...
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08/26/2020
Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality
The modern age of digital music access has increased the availability of...
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08/05/2020
Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts
A common task in computational text analyses is to quantify how two corp...
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05/21/2020
Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit
Social media discussion of COVID-19 provides a rich source of informatio...
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02/12/2020
Complex contagion features without social reinforcement in a model of social information flow
Contagion models are a primary lens through which we understand the spre...
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04/15/2019
A framework for streamlined statistical prediction using topic models
In the Humanities and Social Sciences, there is increasing interest in a...
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01/03/2019
Event detection in Twitter: A keyword volume approach
Event detection using social media streams needs a set of informative fe...
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11/13/2018
SMERC: Social media event response clustering using textual and temporal information
Tweet clustering for event detection is a powerful modern method to auto...
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11/05/2018
The one comparing narrative social network extraction techniques
Analysing narratives through their social networks is an expanding field...
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09/22/2018
Pachinko Prediction: A Bayesian method for event prediction from social media data
The combination of large open data sources with machine learning approac...
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07/25/2018
Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study
Extracting textual features from tweets is a challenging process due to ...
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06/29/2018
Generating Connected Random Graphs
We present an algorithm to produce connected random graphs using a Metro...
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06/24/2016