1.1k citations · 6.8k across the 96 of their papers we have counts for
44 papers · 1 filter
Simon's model does not produce Zipf's law: The fundamental rich-get-richer mechanism for any power-law size ranking
Pablo Rosillo-Rodes, Julia Witte Zimmerman, Laurent Hébert-Dufresne +1
Many complex systems are composed of disparate, interacting types of varying sizes: Species abundances in ecosystems, firm sizes in markets, city populations in countries, word cou…
The Resume Paradox: Greater Language Differences, Smaller Pay Gaps
Joshua R. Minot, Marc Maier, Bradford Demarest +4
Over the past decade, the gender pay gap has remained steady with women earning 84 cents for every dollar earned by men on average. Many studies explain this gap through demand-sid…
Spatial changes in park visitation at the onset of the pandemic
Kelsey Linnell, Mikaela Fudolig, Aaron Schwartz +4
The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor rec…
Quantifying language changes surrounding mental health on Twitter
Anne Marie Stupinski, Thayer Alshaabi, Michael V. Arnold +5
Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services. Here, we expl…
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series
P. S. Dodds, J. R. Minot, M. V. Arnold +5
Maintaining the integrity of long-term data collection is an essential scientific practice. As a field evolves, so too will that field's measurement instruments and data storage sy…
Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions
P. S. Dodds, J. R. Minot, M. V. Arnold +4
Real-world complex systems often comprise many distinct types of elements as well as many more types of networked interactions between elements. When the relative abundances of typ…
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy
P. S. Dodds, J. R. Minot, M. V. Arnold +4
Measuring the specific kind, temporal ordering, diversity, and turnover rate of stories surrounding any given subject is essential to developing a complete reckoning of that subjec…
Gauging the happiness benefit of US urban parks through Twitter
A. J. Schwartz, P. S. Dodds, J. P. M. O'Neil-Dunne +2
The relationship between nature contact and mental well-being has received increasing attention in recent years. While a body of evidence has accumulated demonstrating a positive r…
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter
Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi +2
The past decade has witnessed a marked increase in the use of social media by politicians, most notably exemplified by the 45th President of the United States (POTUS), Donald Trump…
The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong
Thayer Alshaabi, David Rushing Dewhurst, James P. Bagrow +2
Human mortality is in part a function of multiple socioeconomic factors that differ both spatially and temporally. Adjusting for other covariates, the human lifespan is positively…
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance
David Rushing Dewhurst, Thayer Alshaabi, Michael V. Arnold +3
Using a random 10% sample of tweets authored from 2019-09-01 through 2020-04-30, we analyze the dynamic behavior of words (1-grams) used on Twitter to describe the ongoing COVID-19…
How the world's collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter
T. Alshaabi, J. R. Minot, M. V. Arnold +6
In confronting the global spread of the coronavirus disease COVID-19 pandemic we must have coordinated medical, operational, and political responses. In all efforts, data is crucia…
Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems
P. S. Dodds, J. R. Minot, M. V. Arnold +7
Complex systems often comprise many kinds of components which vary over many orders of magnitude in size: Populations of cities in countries, individual and corporate wealth in eco…
Fame and Ultrafame: Measuring and comparing daily levels of `being talked about' for United States' presidents, their rivals, God, countries, and K-pop
Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold +5
When building a global brand of any kind -- a political actor, clothing style, or belief system -- developing widespread awareness is a primary goal. Short of knowing any of the st…
Noncooperative dynamics in election interference
David Rushing Dewhurst, Christopher M. Danforth, Peter Sheridan Dodds
Foreign power interference in domestic elections is an existential threat to societies. Manifested through myriad methods from war to words, such interference is a timely example o…
The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series
David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley +4
We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series---termed the Discrete Shocklet T…
Continuum rich-get-richer processes: Mean field analysis with an application to firm size
David Rushing Dewhurst, Christopher M. Danforth, Peter Sheridan Dodds
Classical rich-get-richer models have found much success in being able to broadly reproduce the statistics and dynamics of diverse real complex systems. These rich-get-richer model…
Slightly generalized Generalized Contagion: Unifying simple models of biological and social spreading
Peter Sheridan Dodds
We motivate and explore the basic features of generalized contagion, a model mechanism that unifies fundamental models of biological and social contagion. Generalized contagion bui…
A generalized model of social and biological contagion
Peter Sheridan Dodds, Duncan J. Watts
We present a model of contagion that unifies and generalizes existing models of the spread of social influences and micro-organismal infections. Our model incorporates individual m…
A simple person's approach to understanding the contagion condition for spreading processes on generalized random networks
Peter Sheridan Dodds
We present derivations of the contagion condition for a range of spreading mechanisms on families of generalized random networks and bipartite random networks. We show how the cont…
Forecasting the onset and course of mental illness with Twitter data
Andrew G. Reece, Andrew J. Reagan, Katharina L. M. Lix +3
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were co…
Public Opinion Polling with Twitter
Emily M. Cody, Andrew J. Reagan, Peter Sheridan Dodds +1
Solicited public opinion surveys reach a limited subpopulation of willing participants and are expensive to conduct, leading to poor time resolution and a restricted pool of expert…
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…
Transitions in climate and energy discourse between Hurricanes Katrina and Sandy
Emily M. Cody, Jennie C. Stephens, James P. Bagrow +2
Although climate change and energy are intricately linked, their explicit connection is not always prominent in public discourse and the media. Disruptive extreme weather events, i…