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Articles 1 - 9 of 9
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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, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds
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, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
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. After distinguishing our algorithms from other methods used in anomaly detection and time series similarity search, such as the matrix profile, seasonal-hybrid ESD, and discrete wavelet transform-based procedures, we demonstrate the DST’s ability to identify mechanism-driven dynamics at a wide range of timescales and its relative insensitivity to functional parameterization. As an …
Chimera States And Seizures In A Mouse Neuronal Model, Henry M. Mitchell, Peter Sheridan Dodds, J. Matthew Mahoney, Christopher M. Danforth
Chimera States And Seizures In A Mouse Neuronal Model, Henry M. Mitchell, Peter Sheridan Dodds, J. Matthew Mahoney, Christopher M. Danforth
College of Engineering and Mathematical Sciences Faculty Publications
Chimera states - the coexistence of synchrony and asynchrony in a nonlocally-coupled network of identical oscillators - are often used as a model framework for epileptic seizures. Here, we explore the dynamics of chimera states in a network of modified Hindmarsh-Rose neurons, configured to reflect the graph of the mesoscale mouse connectome. Our model produces superficially epileptiform activity converging on persistent chimera states in a large region of a two-parameter space governing connections (a) between subcortices within a cortex and (b) between cortices. Our findings contribute to a growing body of literature suggesting mathematical models can qualitatively reproduce epileptic seizure …
Modeling The Influence Of Public Risk Perceptions On The Adoption Of Green Stormwater Infrastructure: An Application Of Bayesian Belief Networks Versus Logistic Regressions On A Statewide Survey Of Households In Vermont, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews
Modeling The Influence Of Public Risk Perceptions On The Adoption Of Green Stormwater Infrastructure: An Application Of Bayesian Belief Networks Versus Logistic Regressions On A Statewide Survey Of Households In Vermont, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews
College of Engineering and Mathematical Sciences Faculty Publications
There is growing environmental psychology and behavior literature with mixed empirical evidence about the influence of public risk perceptions on the adoption of environmentally friendly “green behaviors”. Adoption of stormwater green infrastructure on residential properties, while costlier in the short term compared to conventional greywater infrastructure, plays an important role in the reduction of nutrient loading from non-point sources into freshwater rivers and lakes. In this study, we use Bayesian Belief Networks (BBNs) to analyze a 2015 survey dataset (sample size = 472 respondents) about the adoption of green infrastructure (GSI) in Vermont’s residential areas, most of which are located …
Novel Evolutionary Algorithm Identifies Interactions Driving Infestation Of Triatoma Dimidiata, A Chagas Disease Vector, John P. Hanley, Donna M. Rizzo, Lori Stevens, Sara Helms Cahan, Patricia L. Dorn, Leslie A. Morrissey, Antonieta Guadalupe Rodas, Lucia C. Orantes, Carlota Monroy
Novel Evolutionary Algorithm Identifies Interactions Driving Infestation Of Triatoma Dimidiata, A Chagas Disease Vector, John P. Hanley, Donna M. Rizzo, Lori Stevens, Sara Helms Cahan, Patricia L. Dorn, Leslie A. Morrissey, Antonieta Guadalupe Rodas, Lucia C. Orantes, Carlota Monroy
College of Engineering and Mathematical Sciences Faculty Publications
Chagas disease is a lethal, neglected tropical disease. Unfortunately, aggressive insecticide-spraying campaigns have not been able to eliminate domestic infestation of Triatoma dimidiata, the native vector in Guatemala. To target interventions toward houses most at risk of infestation, comprehensive socioeconomic and entomologic surveys were conducted in two towns in Jutiapa, Guatemala. Given the exhaustively large search space associated with combinations of risk factors, traditional statistics are limited in their ability to discover risk factor interactions. Two recently developed statistical evolutionary algorithms, specifically designed to accommodate risk factor interactions and heterogeneity, were applied to this large combinatorial search space and used …
Hahahahaha, Duuuuude, Yeeessss!: A Two-Parameter Characterization Of Stretchable Words And The Dynamics Of Mistypings And Misspellings, Tyler J. Gray, Christopher M. Danforth, Peter Sheridan Dodds
Hahahahaha, Duuuuude, Yeeessss!: A Two-Parameter Characterization Of Stretchable Words And The Dynamics Of Mistypings And Misspellings, Tyler J. Gray, Christopher M. Danforth, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
Stretched words like 'heellllp' or 'heyyyyy' are a regular feature of spoken language, often used to emphasize or exaggerate the underlying meaning of the root word. While stretched words are rarely found in formal written language and dictionaries, they are prevalent within social media. In this paper, we examine the frequency distributions of 'stretchable words' found in roughly 100 billion tweets authored over an 8 year period. We introduce two central parameters, 'balance' and 'stretch', that capture their main characteristics, and explore their dynamics by creating visual tools we call 'balance plots' and 'spelling trees'. We discuss how the tools …
Temperature Controls Production But Hydrology Regulates Export Of Dissolved Organic Carbon At The Catchment Scale, Hang Wen, Julia Perdrial, Benjamin W. Abbott, Susana Bernal, Remi Dupas, Sarah E. Godsey, Adrian Harpold, Donna Rizzo, Kristen Underwood, Thomas Adler, Gary Sterle, Li Li
Temperature Controls Production But Hydrology Regulates Export Of Dissolved Organic Carbon At The Catchment Scale, Hang Wen, Julia Perdrial, Benjamin W. Abbott, Susana Bernal, Remi Dupas, Sarah E. Godsey, Adrian Harpold, Donna Rizzo, Kristen Underwood, Thomas Adler, Gary Sterle, Li Li
College of Engineering and Mathematical Sciences Faculty Publications
Lateral carbon flux through river networks is an important and poorly understood component of the global carbon budget. This work investigates how temperature and hydrology control the production and export of dissolved organic carbon (DOC) in the Susquehanna Shale Hills Critical Zone Observatory in Pennsylvania, USA. Using field measurements of daily stream discharge, evapotranspiration, and stream DOC concentration, we calibrated the catchment-scale biogeochemical reactive transport model BioRT-Flux-PIHM (Biogeochemical Reactive Transport-Flux-Penn State Integrated Hydrologic Model, BFP), which met the satisfactory standard of a Nash-Sutcliffe efficiency (NSE) value greater than 0.5. We used the calibrated model to estimate and compare the daily …
Noncooperative Dynamics In Election Interference, David Rushing Dewhurst, Christopher M. Danforth, Peter Sheridan Dodds
Noncooperative Dynamics In Election Interference, David Rushing Dewhurst, Christopher M. Danforth, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
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 of strategic interaction between economic and political agents. We model this interaction between rational game players as a continuous-time differential game, constructing an analytical model of this competition with a variety of payoff structures. All-or-nothing attitudes by only one player regarding the outcome of the game lead to an arms race in which both countries spend increasing amounts on interference and counterinterference operations. We then confront our model with data pertaining to the Russian …
A Tandem Evolutionary Algorithm For Identifying Causal Rules From Complex Data, John P. Hanley, Donna M. Rizzo, Jeffrey S. Buzas, Margaret J. Eppstein
A Tandem Evolutionary Algorithm For Identifying Causal Rules From Complex Data, John P. Hanley, Donna M. Rizzo, Jeffrey S. Buzas, Margaret J. Eppstein
College of Engineering and Mathematical Sciences Faculty Publications
We propose a new evolutionary approach for discovering causal rules in complex classification problems from batch data. Key aspects include (a) the use of a hypergeometric probability mass function as a principled statistic for assessing fitness that quantifies the probability that the observed association between a given clause and target class is due to chance, taking into account the size of the dataset, the amount of missing data, and the distribution of outcome categories, (b) tandem age-layered evolutionary algorithms for evolving parsimonious archives of conjunctive clauses, and disjunctions of these conjunctions, each of which have probabilistically significant associations with outcome …
Fragmentation And Inefficiencies In Us Equity Markets: Evidence From The Dow 30, Brian F. Tivnan, David Rushing Dewhurst, Colin M. Van Oort, John H. Ring, Tyler J. Gray, Brendan F. Tivnan, Matthew T.K. Koehler, Matthew T. Mcmahon, David M. Slater, Jason G. Veneman, Christopher M. Danforth
Fragmentation And Inefficiencies In Us Equity Markets: Evidence From The Dow 30, Brian F. Tivnan, David Rushing Dewhurst, Colin M. Van Oort, John H. Ring, Tyler J. Gray, Brendan F. Tivnan, Matthew T.K. Koehler, Matthew T. Mcmahon, David M. Slater, Jason G. Veneman, Christopher M. Danforth
College of Engineering and Mathematical Sciences Faculty Publications
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 calendar year 2016 from the vantage point of a single and fixed frame of reference. We find that inefficiencies created in part by the fragmentation of the equity marketplace are relatively common and persist for longer than what physical constraints may suggest. Information feeds reported different prices for the same equity more than 120 million times, with almost 64 million dislocation segments featuring meaningfully longer duration and higher magnitude. During this period, roughly …