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 cs.SIShow all

13 papers · 1 filter

cs.SI2022

Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere

Mehwish Nasim, Derek Weber, Tobin South +4

Contrary to expectations that the increased connectivity offered by the internet and particularly Online Social Networks (OSNs) would result in broad consensus on contentious issue…

cs.SI2020

#ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media

Derek Weber, Mehwish Nasim, Lucia Falzon +1

During the summer of 2019-20, while Australia suffered unprecedented bushfires across the country, false narratives regarding arson and limited backburning spread quickly on Twitte…

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.…

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…