activity
20152022
most citedComplex contagion features without social reinforcement in a model of social information flow

16 citations · 40 across the 7 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.SI2019

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…

cs.SI2019

How the Avengers assemble: Ecological modelling of effective cast sizes for movies

Matthew Roughan, Lewis Mitchell, Tobin South

The number of characters in a movie is an interesting feature. However, it is non-trivial to measure directly. Naive metrics such as the number of credited characters vary wildly.…

stat.AP2019

A framework for streamlined statistical prediction using topic models

Vanessa Glenny, Jonathan Tuke, Nigel Bean +1

In the Humanities and Social Sciences, there is increasing interest in approaches to information extraction, prediction, intelligent linkage, and dimension reduction applicable to…

cs.SI2019

Semi-supervised graph labelling reveals increasing partisanship in the United States Congress

Max Glonek, Jonathan Tuke, Lewis Mitchell +1

Graph labelling is a key activity of network science, with broad practical applications, and close relations to other network science tasks, such as community detection and cluster…

cs.SI2019

Event detection in Twitter: A keyword volume approach

Ahmad Hany Hossny, Lewis Mitchell

Event detection using social media streams needs a set of informative features with strong signals that need minimal preprocessing and are highly associated with events of interest…