4 papers
Bayesian inference of network structure from information cascades
Caitlin Gray, Lewis Mitchell, Matthew Roughan
Contagion processes are strongly linked to the network structures on which they propagate, and learning these structures is essential for understanding and intervention on complex…
SMERC: Social media event response clustering using textual and temporal information
Peter Mathews, Caitlin Gray, Lewis Mitchell +2
Tweet clustering for event detection is a powerful modern method to automate the real-time detection of events. In this work we present a new tweet clustering approach, using a pro…
Generating Connected Random Graphs
Caitlin Gray, Lewis Mitchell, Matthew Roughan
Sampling random graphs is essential in many applications, and often algorithms use Markov chain Monte Carlo methods to sample uniformly from the space of graphs. However, often the…
Super-blockers and the effect of network structure on information cascades
Caitlin Gray, Lewis Mitchell, Matthew Roughan
Modelling information cascades over online social networks is important in fields from marketing to civil unrest prediction, however the underlying network structure strongly affec…