Search Results for author: David Rushing Dewhurst

Found 6 papers, 4 papers with code

The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community

no code implementations25 May 2021 Kelly Gothard, David Rushing Dewhurst, Joshua R. Minot, Jane Lydia Adams, Christopher M. Danforth, Peter Sheridan Dodds

Evolving out of a gender-neutral framing of an involuntary celibate identity, the concept of `incels' has come to refer to an online community of men who bear antipathy towards themselves, women, and society-at-large for their perceived inability to find and maintain sexual relationships.

Structural time series grammar over variable blocks

1 code implementation15 Sep 2020 David Rushing Dewhurst

A structural time series model additively decomposes into generative, semantically-meaningful components, each of which depends on a vector of parameters.

Time Series Analysis Methodology Programming Languages D.3; G.3; I.2

The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong

1 code implementation15 Jun 2020 Thayer Alshaabi, David Rushing Dewhurst, James P. Bagrow, Peter Sheridan Dodds, Christopher M. Danforth

However, the extent to which mortality in a geographical region is a function of socioeconomic factors in both that region and its neighbors is unclear.

Physics and Society Social and Information Networks Applications

Evolving ab initio trading strategies in heterogeneous environments

1 code implementation19 Dec 2019 David Rushing Dewhurst, Yi Li, Alexander Bogdan, Jasmine Geng

Securities markets are quintessential complex adaptive systems in which heterogeneous agents compete in an attempt to maximize returns.

The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series

2 code implementations27 Jun 2019 David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds

We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series---termed the Discrete Shocklet Transform (DST)---and an associated similarity search routine, the Shocklet Transform And Ranking (STAR) algorithm, that indicates time windows during which panels of time series display qualitatively-similar anomalous behavior.

Physics and Society Data Structures and Algorithms Signal Processing Data Analysis, Statistics and Probability

Fragmentation and inefficiencies in US equity markets: Evidence from the Dow 30

no code implementations13 Feb 2019 Brian F. Tivnan, David Rushing Dewhurst, Colin M. Van Oort, John H. Ring IV, Tyler J. Gray, Brendan F. Tivnan, Matthew T. K. Koehler, Matthew T. McMahon, David Slater, Jason Veneman, Christopher M. Danforth

Using the most comprehensive source of commercially available data on the US National Market System, we analyze all quotes and trades associated with Dow 30 stocks in 2016 from the vantage point of a single and fixed frame of reference.

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