103 citations · 250 across the 29 of their papers we have counts for
6 papers · 1 filter
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…
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.…
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…
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…