526 citations · 1.6k across the 39 of their papers we have counts for
17 papers · 1 filter
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…
Exploring the effect of streamed social media data variations on social network analysis
Derek Weber, Mehwish Nasim, Lewis Mitchell +1
To study the effects of Online Social Network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications…
A method to evaluate the reliability of social media data for social network analysis
Derek Weber, Mehwish Nasim, Lewis Mitchell +1
To study the effects of Online Social Network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications…
Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality
Tobin South, Matthew Roughan, Lewis Mitchell
The modern age of digital music access has increased the availability of data about music consumption and creation, facilitating the large-scale analysis of the complex networks th…
#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…
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…
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.…
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…
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…
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…
The one comparing narrative social network extraction techniques
Michelle Edwards, Lewis Mitchell, Jonathan Tuke +1
Analysing narratives through their social networks is an expanding field in quantitative literary studies. Manually extracting a social network from any narrative can be time consu…
Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study
Ahmad Hany Hossny, Terry Moschou, Grant Osborne +2
Extracting textual features from tweets is a challenging process due to the noisy nature of the content and the weak signal of most of the words used. In this paper, we propose usi…
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…
Real-time Detection of Content Polluters in Partially Observable Twitter Networks
Mehwish Nasim, Andrew Nguyen, Nick Lothian +2
Content polluters, or bots that hijack a conversation for political or advertising purposes are a known problem for event prediction, election forecasting and when distinguishing r…
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…
Which friends are more popular than you? Contact strength and the friendship paradox in social networks
James P. Bagrow, Christopher M. Danforth, Lewis Mitchell
The friendship paradox states that in a social network, egos tend to have lower degree than their alters, or, "your friends have more friends than you do". Most research has focuse…
A data-driven model for influenza transmission incorporating media effects
Lewis Mitchell, Joshua V. Ross
Numerous studies have attempted to model the effect of mass media on the transmission of diseases such as influenza, however quantitative data on media engagement has until recentl…