Complex dynamic behavior during transition in a solid combustion model. - Jun Yu; Laura K. Gross; Christopher M. Danforth (Complex., 2009)

Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter - Peter Sheridan Dodds; Kameron Decker Harris; Isabel M. Kloumann; Catherine A. Bliss; Christopher M. Danforth (CoRR, 2011)

Positivity of the English language - Isabel M. Kloumann; Christopher M. Danforth; Kameron Decker Harris; Catherine A. Bliss; Peter Sheridan Dodds (CoRR, 2011)

Twitter reciprocal reply networks exhibit assortativity with respect to happiness. - Catherine A. Bliss; Isabel M. Kloumann; Kameron Decker Harris; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2012)

Predicting Critical Transitions From Time Series Synchrophasor Data. - Eduardo Cotilla Sanchez; Paul D. H. Hines; Christopher M. Danforth (IEEE Trans. Smart Grid, 2012)

A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data. - Ilknur Icke; Nicholas A. Allgaier; Christopher M. Danforth; Robert A. Whelan; Hugh P. Garavan; Joshua Clifford Bongard (GPTP, 2013)

Shadow networks: Discovering hidden nodes with models of information flow. - James P. Bagrow; Suma Desu; Morgan R. Frank; Narine Manukyan; Lewis Mitchell; Andrew J. Reagan; Eric E. Bloedorn; Lashon B. Booker; Luther Karl Branting; Michael J. Smith 006; Brian F. Tivnan; Christopher M. Danforth; et al. (CoRR, 2013)

The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place - Lewis Mitchell; Kameron Decker Harris; Morgan R. Frank; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2013)

Dynamics of influence processes on networks: Complete mean-field theory; the roles of response functions, connectivity, and synchrony; and applications to social contagion - Kameron Decker Harris; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2013)

Happiness and the Patterns of Life: A Study of Geolocated Tweets - Morgan R. Frank; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2013)

Estimation of global network statistics from incomplete data. - Catherine A. Bliss; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2014)

Human language reveals a universal positivity bias. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2014)

Constructing a taxonomy of fine-grained human movement and activity motifs through social media. - Morgan R. Frank; Jake Ryland Williams; Lewis Mitchell; James P. Bagrow; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2014)

Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language. - Jake Ryland Williams; James P. Bagrow; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2014)

Zipf's law holds for phrases, not words. - Jake Ryland Williams; Paul R. Lessard; Suma Desu; Eric M. Clark; James P. Bagrow; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2014)

Standing Swells Surveyed Showing Surprisingly Stable Solutions for the Lorenz '96 Model. - Morgan R. Frank; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth (Int. J. Bifurc. Chaos, 2014)

An evolutionary algorithm approach to link prediction in dynamic social networks. - Catherine A. Bliss; Morgan R. Frank; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2014)

The Lexicocalorimeter: Gauging public health through caloric input and output on social media. - Sharon E. Alajajian; Jake Ryland Williams; Andrew J. Reagan; Stephen C. Alajajian; Morgan R. Frank; Lewis Mitchell; Jacob Lahne; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Nonlinear functional mapping of the human brain. - Nicholas A. Allgaier; Tobias Banaschewski; Gareth J. Barker; Arun L. W. Bokde; Josh C. Bongard; Uli Bromberg; Christian Büchel; Anna Cattrell; Patricia J. Conrod; Christopher M. Danforth; Sylvane Desrivières; Peter Sheridan Dodds; et al. (CoRR, 2015)

Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter. - Eric M. Clark; Chris A. Jones; Jake Ryland Williams; Allison N. Kurti; Michell Craig Nortotsky; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Climate change sentiment on Twitter: An unsolicited public opinion poll. - Emily M. Cody; Andrew J. Reagan; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2015)

Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2015)

Robustness of Spatial Micronetworks. - Thomas C. McAndrew; Christopher M. Danforth; James P. Bagrow (CoRR, 2015)

Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution. - Eitan Adam Pechenick; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Is language evolution grinding to a halt?: Exploring the life and death of words in English fiction. - Eitan Adam Pechenick; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs. - Andrew J. Reagan; Brian F. Tivnan; Jake Ryland Williams; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Identifying missing dictionary entries with frequency-conserving context models. - Jake Ryland Williams; Eric M. Clark; James P. Bagrow; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

What we write about when we write about causality: Features of causal statements across large-scale social discourse. - Thomas C. McAndrew; Joshua Clifford Bongard; Christopher M. Danforth; Peter Sheridan Dodds; Paul D. H. Hines; James P. Bagrow (ASONAM, 2016)

Public Opinion Polling with Twitter. - Emily M. Cody; Andrew J. Reagan; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2016)

Divergent Discourse Between Protests and Counter-Protests: #BlackLivesMatter and #AllLivesMatter. - Ryan J. Gallagher; Andrew J. Reagan; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2016)

Forecasting the onset and course of mental illness with Twitter data. - Andrew G. Reece; Andrew J. Reagan; Katharina L. M. Lix; Peter Sheridan Dodds; Christopher M. Danforth; Ellen J. Langer (CoRR, 2016)

Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis. - Jake Ryland Williams; James P. Bagrow; Andrew J. Reagan; Sharon E. Alajajian; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2016)

The emotional arcs of stories are dominated by six basic shapes. - Andrew J. Reagan; Lewis Mitchell; Dilan Kiley; Christopher M. Danforth; Peter Sheridan Dodds (EPJ Data Sci., 2016)

Sifting robotic from organic text: A natural language approach for detecting automation on Twitter. - Eric M. Clark; Jake Ryland Williams; Chris A. Jones; Richard A. Galbraith; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2016)

Which friends are more popular than you?: Contact strength and the friendship paradox in social networks. - James P. Bagrow; Christopher M. Danforth; Lewis Mitchell (ASONAM, 2017)

Measuring the happiness of large-scale written expression: Songs, Blogs, and Presidents. - Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2017)

Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs. - Andrew J. Reagan; Christopher M. Danforth; Brian F. Tivnan; Jake Ryland Williams; Peter Sheridan Dodds (EPJ Data Sci., 2017)

Instagram photos reveal predictive markers of depression. - Andrew G. Reece; Christopher M. Danforth (EPJ Data Sci., 2017)

Erratum to: Instagram photos reveal predictive markers of depression. - Andrew G. Reece; Christopher M. Danforth (EPJ Data Sci., 2017)

Connecting every bit of knowledge: The structure of Wikipedia's First Link Network. - Mark Ibrahim; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2017)

Is language evolution grinding to a halt? The scaling of lexical turbulence in English fiction suggests it is not. - Eitan Adam Pechenick; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2017)

English verb regularization in books and tweets. - Tyler J. Gray; Andrew J. Reagan; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2018)

A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter. - Eric M. Clark; Ted James; Chris A. Jones; Amulya Alapati; Promise Ukandu; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2018)

Average individuals tweet more often during extreme events: An ideal mechanism for social contagion. - Meredith T. Niles; Benjamin F. Emery; Andrew J. Reagan; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2018)

Exposure to urban parks improves affect and reduces negativity on Twitter. - Aaron J. Schwartz; Peter Sheridan Dodds; Jarlath P. M. O'Neil-Dunne; Christopher M. Danforth; Taylor H. Ricketts (CoRR, 2018)

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 (CoRR, 2019)

Exploring Perceptions of Veganism. - Laura Jennings; Christopher M. Danforth; Peter Sheridan Dodds; Elizabeth Pinel; Lizzy Pope (CoRR, 2019)

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; Thayer Alshaabi; Jane Lydia Adams; David Rushing Dewhurst; Andrew J. Reagan; Christopher M. Danforth (CoRR, 2019)

The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020. - Thayer Alshaabi; David Rushing Dewhurst; Joshua R. Minot; Michael V. Arnold; Jane Lydia Adams; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. - Thayer Alshaabi; Joshua R. Minot; Michael V. Arnold; Jane Lydia Adams; David Rushing Dewhurst; Andrew J. Reagan; R. Muhamad; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

Hurricanes and hashtags: Characterizing online collective attention for natural disasters. - Michael V. Arnold; David Rushing Dewhurst; Thayer Alshaabi; Joshua R. Minot; Jane Lydia Adams; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

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; Joshua R. Minot; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter. - Joshua R. Minot; Michael V. Arnold; Thayer Alshaabi; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

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; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2020)

Gauging the happiness benefit of US urban parks through Twitter. - Aaron J. Schwartz; Peter Sheridan Dodds; Jarlath P. M. O'Neil-Dunne; Taylor H. Ricketts; Christopher M. Danforth (CoRR, 2020)

Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane María. - Benjamin Freixas Emery; Meredith T. Niles; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter. - Thayer Alshaabi; Jane Lydia Adams; Michael V. Arnold; Joshua R. Minot; David Rushing Dewhurst; Andrew J. Reagan; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2020)

Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy. - Peter Sheridan Dodds; Joshua R. Minot; Michael V. Arnold; Thayer Alshaabi; Jane Lydia Adams; Andrew J. Reagan; Christopher M. Danforth (CoRR, 2020)

Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series. - Peter Sheridan Dodds; Joshua R. Minot; Michael V. Arnold; Thayer Alshaabi; Jane Lydia Adams; David Rushing Dewhurst; Andrew J. Reagan; Christopher M. Danforth (CoRR, 2020)

Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions. - Peter Sheridan Dodds; Joshua R. Minot; Michael V. Arnold; Thayer Alshaabi; Jane Lydia Adams; David Rushing Dewhurst; Andrew J. Reagan; Christopher M. Danforth (CoRR, 2020)

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 (EPJ Data Sci., 2020)

Chimera States and Seizures in a Mouse Neuronal Model. - Henry M. Mitchell; Peter Sheridan Dodds; J. Matthew Mahoney; Christopher M. Danforth (Int. J. Bifurc. Chaos, 2020)

Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance. - Joshua R. Minot; Nicholas Cheney; Marc Maier; Danne C. Elbers; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2021)

The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community. - Kelly Gothard; David Rushing Dewhurst; Joshua R. Minot; Jane Lydia Adams; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2021)

Quantifying language changes surrounding mental health on Twitter. - Anne Marie Stupinski; Thayer Alshaabi; Michael V. Arnold; Jane Lydia Adams; Joshua R. Minot; Matthew Price; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2021)

Sirius: A Mutual Information Tool for Exploratory Visualization of Mixed Data. - Jane Lydia Adams; Todd F. DeLuca; Christopher M. Danforth; Peter Sheridan Dodds; Yuhang Zheng; Konstantinos Anastasakis; Boyoon Choi; Allison Min; Michael M. Bessey (CoRR, 2021)

Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd. - Henry H. Wu; Ryan J. Gallagher; Thayer Alshaabi; Jane Lydia Adams; Joshua R. Minot; Michael V. Arnold; Brooke Foucault Welles; Randall Harp; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2021)

Blending search queries with social media data to improve forecasts of economic indicators. - Yi Li; Asieh Ahani; Haimao Zhan; Kevin Foley; Thayer Alshaabi; Kelsey Linnell; Peter Sheridan Dodds; Christopher M. Danforth; Adam Fox (CoRR, 2021)

Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias. - Peter Sheridan Dodds; Thayer Alshaabi; Mikaela Irene D. Fudolig; Julia Witte Zimmerman; Juniper L. Lovato; Shawn Beaulieu; Joshua R. Minot; Michael V. Arnold; Andrew J. Reagan; Christopher M. Danforth (CoRR, 2021)

The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020. - Thayer Alshaabi; David Rushing Dewhurst; Joshua R. Minot; Michael V. Arnold; Jane Lydia Adams; Christopher M. Danforth; Peter Sheridan Dodds (EPJ Data Sci., 2021)

Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts. - Ryan J. Gallagher; Morgan R. Frank; Lewis Mitchell; Aaron J. Schwartz; Andrew J. Reagan; Christopher M. Danforth; Peter Sheridan Dodds (EPJ Data Sci., 2021)

Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning. - Thayer Alshaabi; Colin Michael Van Oort; Mikaela Irene D. Fudolig; Michael V. Arnold; Christopher M. Danforth; Peter Sheridan Dodds (Frontiers Artif. Intell., 2021)

The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity. - Kelsey Linnell; Michael V. Arnold; Thayer Alshaabi; Thomas C. McAndrew; Jeanie Lim; Peter Sheridan Dodds; Christopher M. Danforth (J. Big Data, 2021)

Sentiment and structure in word co-occurrence networks on Twitter. - Mikaela Irene D. Fudolig; Thayer Alshaabi; Michael V. Arnold; Christopher M. Danforth; Peter Sheridan Dodds (Appl. Netw. Sci., 2022)

Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies. - Colin Michael Van Oort; John Henry Ring IV; David Rushing Dewhurst; Christopher M. Danforth; Brian F. Tivnan (Complex., 2022)

Characterizing narrative time in books through fluctuations in power and danger arcs. - Mikaela Irene D. Fudolig; Thayer Alshaabi; Kathryn Cramer; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2022)

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance. - Joshua R. Minot; Nicholas Cheney; Marc Maier; Danne C. Elbers; Christopher M. Danforth; Peter Sheridan Dodds (ACM Trans. Comput. Heal., 2022)

Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. - Ellen W. McGinnis; Shania Lunna; Isabel Berman; Bryn C. Loftness; Skylar Bagdon; Christopher M. Danforth; Matthew Price; William E. Copeland; Ryan S. McGinnis (EMBC, 2023)

Evolving Robust Facility Placements. - Will Thompson; Alex Freidrichsen; Christopher M. Danforth; Peter Sheridan Dodds; Nicholas Cheney (GECCO Companion, 2023)

Curating corpora with classifiers: A case study of clean energy sentiment online. - Michael V. Arnold; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2023)

An assessment of measuring local levels of homelessness through proxy social media signals. - Yoshi Meke Bird; Sarah E. Grobe; Michael V. Arnold; Sean P. Rogers; Mikaela Irene D. Fudolig; Julia Witte Zimmerman; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2023)

Park visitation and walkshed demographics in the United States. - Kelsey Linnell; Mikaela Irene D. Fudolig; Laura SP Bloomfield; Thomas C. McAndrew; Taylor H. Ricketts; Jarlath P. M. O'Neil-Dunne; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2023)

A blind spot for large language models: Supradiegetic linguistic information. - Julia Witte Zimmerman; Denis Hudon; Kathryn Cramer; Jonathan St-Onge; Mikaela Irene D. Fudolig; Milo Z. Trujillo; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2023)

The Resume Paradox: Greater Language Differences, Smaller Pay Gaps. - Joshua R. Minot; Marc Maier; Bradford Demarest; Nicholas Cheney; Christopher M. Danforth; Peter Sheridan Dodds; Morgan R. Frank (CoRR, 2023)

Computational Paremiology: Charting the temporal, ecological dynamics of proverb use in books, news articles, and tweets. - Ethan Davis; Christopher M. Danforth; Wolfgang Mieder; Peter Sheridan Dodds (Digit. Humanit. Q., 2023)

Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems. - Peter Sheridan Dodds; Joshua R. Minot; Michael V. Arnold; Thayer Alshaabi; Jane Lydia Adams; David Rushing Dewhurst; Tyler J. Gray; Morgan R. Frank; Andrew J. Reagan; Christopher M. Danforth (EPJ Data Sci., 2023)

Hollywood's misrepresentation of death: A comparison of overall and by-gender mortality causes in film and the real world. - Calla Beauregard; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2024)

Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning. - Julia Witte Zimmerman; Denis Hudon; Kathryn Cramer; Alejandro J. Ruiz; Calla Beauregard; Ashley M. A. Fehr; Mikaela Irene D. Fudolig; Bradford Demarest; Yoshi Meke Bird; Milo Z. Trujillo; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2024)

Collective sleep and activity patterns of college students from wearable devices. - Mikaela Irene D. Fudolig; Laura SP Bloomfield; Matthew Price; Yoshi Meke Bird; Johanna E. Hidalgo; Julia Kim; Jordan Llorin; Juniper L. Lovato; Ellen W. McGinnis; Ryan S. McGinnis; Taylor H. Ricketts; Kathryn Stanton; et al. (CoRR, 2024)

A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence. - Jonathan St-Onge; Ashley M. A. Fehr; Carter Ward; Calla Beauregard; Michael V. Arnold; Samuel F. Rosenblatt; Benjamin Cooley; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2025)

Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility. - Mohsen Ghasemizade; Juniper L. Lovato; Christopher M. Danforth; Peter Sheridan Dodds; Laura SP Bloomfield; Matthew Price; Team LEMURS; Joseph P. Near (CoRR, 2025)