4 citations · 6 across the 4 of their papers we have counts for
8 papers
Structural time series grammar over variable blocks
David Rushing Dewhurst
A structural time series model additively decomposes into generative, semantically-meaningful components, each of which depends on a vector of parameters. We demonstrate that consi…
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…
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…
Evolving ab initio trading strategies in heterogeneous environments
David Rushing Dewhurst, Yi Li, Alexander Bogdan +1
Securities markets are quintessential complex adaptive systems in which heterogeneous agents compete in an attempt to maximize returns. Species of trading agents are also subject t…
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…