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)

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)

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)

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)

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)

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)

Towards a science of human stories: using sentiment analysis and emotional arcs to understand the building blocks of complex social systems. - Andrew J. Reagan (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)

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

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)

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)

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)

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)

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)

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)