526 citations · 1.6k across the 39 of their papers we have counts for
17 papers · 1 filter
Vector Autoregression in Cryptocurrency Markets: Unraveling Complex Causal Networks
Cameron Cornell, Lewis Mitchell, Matthew Roughan
Methodologies to infer financial networks from the price series of speculative assets vary, however, they generally involve bivariate or multivariate predictive modelling to reveal…
#IStandWithPutin versus #IStandWithUkraine: The interaction of bots and humans in discussion of the Russia/Ukraine war
Bridget Smart, Joshua Watt, Sara Benedetti +2
The 2022 Russian invasion of Ukraine emphasises the role social media plays in modern-day warfare, with conflict occurring in both the physical and information environments. There…
Information flow estimation: a study of news on Twitter
Tobin South, Bridget Smart, Matthew Roughan +1
News media has long been an ecosystem of creation, reproduction, and critique, where news outlets report on current events and add commentary to ongoing stories. Understanding the…
Complex contagion features without social reinforcement in a model of social information flow
Tyson Pond, Saranzaya Magsarjav, Tobin South +2
Contagion models are a primary lens through which we understand the spread of information over social networks. However, simple contagion models cannot reproduce the complex featur…
The quoter model: a paradigmatic model of the social flow of written information
James P. Bagrow, Lewis Mitchell
We propose a model for the social flow of information in the form of text data, which simulates the posting and sharing of short social media posts. Nodes in a graph representing a…
Information flow reveals prediction limits in online social activity
James P. Bagrow, Xipei Liu, Lewis Mitchell
Modern society depends on the flow of information over online social networks, and users of popular platforms generate significant behavioral data about themselves and their social…
The nature and origin of heavy tails in retweet activity
Peter Mathews, Lewis Mitchell, Giang T. Nguyen +1
Modern social media platforms facilitate the rapid spread of information online. Modelling phenomena such as social contagion and information diffusion are contingent upon a detail…
Simon's fundamental rich-get-richer model entails a dominant first-mover advantage
Peter Sheridan Dodds, David Rushing Dewhurst, Fletcher F. Hazlehurst +5
Herbert Simon's classic rich-get-richer model is one of the simplest empirically supported mechanisms capable of generating heavy-tail size distributions for complex systems. Simon…
The Lexicocalorimeter: Gauging public health through caloric input and output on social media
S. E. Alajajian, J. R. Williams, A. J. Reagan +6
We propose and develop a Lexicocalorimeter: an online, interactive instrument for measuring the "caloric content" of social media and other large-scale texts. We do so by construct…
The game story space of professional sports: Australian Rules Football
D. P. Kiley, A. J. Reagan, L. Mitchell +2
Sports are spontaneous generators of stories. Through skill and chance, the script of each game is dynamically written in real time by players acting out possible trajectories allo…
Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics
P. S. Dodds, E. M. Clark, S. Desu +11
We demonstrate that the concerns expressed by Garcia et al. are misplaced, due to (1) a misreading of our findings in [1]; (2) a widespread failure to examine and present words in…
Climate change sentiment on Twitter: An unsolicited public opinion poll
Emily M. Cody, Andrew J. Reagan, Lewis Mitchell +2
The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the s…
Constructing a taxonomy of fine-grained human movement and activity motifs through social media
Morgan R. Frank, Jake Ryland Williams, Lewis Mitchell +3
Profiting from the emergence of web-scale social data sets, numerous recent studies have systematically explored human mobility patterns over large populations and large time scale…
Human language reveals a universal positivity bias
Peter Sheridan Dodds, Eric M. Clark, Suma Desu +11
Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language…
Shadow networks: Discovering hidden nodes with models of information flow
James P. Bagrow, Suma Desu, Morgan R. Frank +11
Complex, dynamic networks underlie many systems, and understanding these networks is the concern of a great span of important scientific and engineering problems. Quantitative desc…
Happiness and the Patterns of Life: A Study of Geolocated Tweets
Morgan R. Frank, Lewis Mitchell, Peter S. Dodds +1
The patterns of life exhibited by large populations have been described and modeled both as a basic science exercise and for a range of applied goals such as reducing automotive co…
The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place
Lewis Mitchell, Kameron Decker Harris, Morgan R. Frank +2
We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographi…