Publications


  • 117. Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd.
    H. H. Wu, R. J. Gallagher, T. Alshaabi, J. L. Adams, J. R. Minot, M. V. Arnold, B. F. Welles, R. Harp, P. S. Dodds, C. M. Danforth.
    PLOS ONE. 2023.
    [pdf] [journal url] [arXiv] [thread]

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  • 116. 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.
    P. S. Dodds, T. Alshaabi, M. I. Fudolig, J. W. Zimmerman, J. Lovato, S. Beaulieu, J. R. Minot, M. V. Arnold, A. J. Reagan, C. M. Danforth.
    In Review. 2023.
    [pdf] [abstract] [online appendix] [thread]

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  • 115. A decomposition of book structure through ousiometric fluctuations in cumulative word-time.
    M. Fudolig, T. Alshaabi, K. Cramer, C. M. Danforth, P. S. Dodds.
    Humanities and Social Sciences Communications. 2023.
    [pdf] [journal url] [arxiv] [thread]

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  • 114. Nature Exposure is Associated With Reduced Smartphone Use.
    K. Minor, K. L. Glavind, A. J. Schwartz, C. M. Danforth, S. Lehmann, A. Bjerre-Nielsen.
    Environment and Behavior. 2023.
    [pdf] [journal url] [thread] [press]

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  • 113. An assessment of measuring local levels of homelessness through proxy social media signals.
    Y. M. Bird, S. E. Grobe, M. V. Arnold, S. P. Rogers, M. I. Fudolig, J. W. Zimmerman, C. M. Danforth, P. S. Dodds.
    In Review. 2023.
    [pdf] [arXiv] [thread] [press]

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  • 112. Curating corpora with classifiers: A case study of clean energy sentiment online.
    M. V. Arnold, P. S. Dodds, C. M. Danforth.
    In Review. 2023.
    [pdf] [arXiv]

    Stacks Image 503381
  • 111. Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs.
    D. Elbers, J. La, J. R Minot, R. E. Gramling, M. T. Brophy, N. V. Do, N. Fillmore, P. S. Dodds, C. M. Danforth.
    PLOS ONE. 2023.
    [pdf] [journal url]

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  • 110. Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data.
    E. W. McGinnis, S. Lunna, I. Berman, S. Bagdon, G. Lewis, M. V. Arnold, C. M. Danforth, P. S. Dodds, M. Price, W. E. Copeland, R. S. McGinnis.
    IEEE Open Journal of Engineering in Medicine and Biology. 2024.
    [pdf] [arXiv] [journal url] [press] [thread]

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  • 109. Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data.
    E. W. McGinnis, S. Lunna, I. Berman, B. Loftness, S. Bagdon, C. M. Danforth, M. Price, W. E. Copeland, R. S. McGinnis.
    In Review. 2023.
    [pdf] [arXiv]

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  • 108. A Large Clinical Trial to Measure Well-Being During the Transition to College Using Wearables: The Lived Experiences Measured Using Rings Study.
    M. Price, J. E. Hidalgo, Y. Bird, L. S. P. Bloomfield, C. Buck, J. Cerutti, P. S. Dodds, M. I. Fudolig, R. Gehman, M. Hickok, J. Kim, J. Llorin, J. Lovato, E. McGinnis, R. S. McGinnis, R. Norton, V. Ramirez, K. Stanton, T. H. Ricketts, C. M. Danforth.
    Contemporary Clinical Trials. 2023.
    [pdf] [journal url] [press]

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  • 107. Predicting stress in college freshmen using sleep data from wearable devices.
    L. S. P. Bloomfield, M. I. Fudolig, P. S. Dodds, J. Llorin, J. L. Lovato, J. Kim, E. W. McGinnis, R. S. McGinnis, M. Price, T. H. Ricketts, K. Stanton, C. M. Danforth.
    PLOS Digital Health. 2024.
    [pdf] [arXiv] [journal url] [press]

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  • 106. Events and Behaviors Associated with Symptoms of Generalized Anxiety Disorder in First-year College Students.
    L. S. P. Bloomfield, M. I. Fudolig, P. S. Dodds, J. Llorin, J. L. Lovato, J. Kim, E. W. McGinnis, R. S. McGinnis, M. Price, T. H. Ricketts, K. Stanton, C. M. Danforth.
    In Review. 2023.
    [pdf] [arXiv]

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  • 105. The two fundamental shapes of sleep heart rate dynamics and their connection to mental health.
    M. I. Fudolig, L. S. P. Bloomfield, M. Price, Y. M. Bird, J. E. Hidalgo, J. Kim, J. Llorin, J. L. Lovato, E. W. McGinnis, R. S. McGinnis, T. H. Ricketts, K. Stanton, P. S. Dodds, C. M. Danforth.
    In Review. 2023.
    [pdf] [arXiv]

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  • 104. The Resume Paradox: Greater Language Differences, Smaller Pay Gaps.
    J. Minot, M. Maier, B. Demarest, N. Cheney, C. M. Danforth, P. S. Dodds, M. R. Frank.
    In Review. 2023.
    [pdf] [arXiv] [thread]

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  • 103. A blind spot for large language models: Supradiegetic linguistic information.
    J. W. Zimmerman, D. Hudon, K. Cramer, J. St. Onge, M. Fudolig, M. V. Arnold, M. Z. Trujillo, C. M. Danforth, P. S. Dodds.
    In Review. 2023.
    [pdf] [arXiv]

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  • 102. Allotaxonometry and rank-turbulence divergence:
    A universal instrument for comparing complex systems.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, T. J. Gray, M. R. Frank, A. J. Reagan, C. M. Danforth.
    EPJ Data Science. 2023.
    [pdf] [arXiv] [journal url] [online appendix] [code] [thread]

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  • 101. Computational Paremiology: Charting the temporal, ecological dynamics of proverb use in books, news articles, and tweets.
    E. Davis, C. M. Danforth, W. Mieder, P. S. Dodds.
    Digital Humanities Quarterly. 2023.
    [pdf] [arXiv] [journal url]

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  • 100. Twitter misogyny associated with Hillary Clinton increased throughout the 2016 U.S. election campaign.
    M. Weaving, T. Alshaabi, M. V. Arnold, K. Blake, C. M. Danforth, P. S. Dodds, N. Haslam, C. Fine.
    Scientific Reports. 2023.
    [pdf] [journal url] [thread]

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  • 99. Park visitation and walkshed demographics in the United States.
    K. Linnell, M. Fudolig, L. Bloomfield, T. H. Ricketts, J. P. M. O'Neil-Dunne, P. S. Dodds, C. M. Danforth.
    In Review. 2023.
    [pdf] [arXiv]

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  • 98. Spatial changes in park visitation at the onset of the pandemic.
    K. Linnell, M. Fudolig, A. Schwartz, T. H. Ricketts, J. P. M. O'Neil-Dunne, P. S. Dodds, C. M. Danforth.
    PLOS Global Health. 2022.
    [pdf] [journal url] [arxiv] [thread]

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  • 97. Fame and Ultrafame: Measuring and comparing daily levels of 'being talked about' for United States' presidents, their rivals, God, countries, and K-pop.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth.
    Journal of Quantitative Description. 2022.
    [pdf] [journal url] [arXiv] [thread] [online appendix] [best paper award]

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  • 96. Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study.
    A. M. Stupinski, T. Alshaabi, M. V. Arnold, J. R. Minot, M. Price, P. S. Dodds, C. M. Danforth.
    Journal of Medical Internet Research: Mental Health. 2022.
    [pdf] [journal url] [arXiv] [thread]

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  • 95. Augmenting semantic lexicons using word embeddings and transfer learning.
    T. Alshaabi, C. V. Oort, M. Fudolig, M. V. Arnold, C. M. Danforth, P. S. Dodds.
    Frontiers in Artificial Intelligence. 2022.
    [pdf] [journal url] [arXiv] [thread]

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  • 94. Gauging the happiness benefit of US urban parks through Twitter.
    A. J. Schwartz, P. S. Dodds, J. P. M. O’Neil-Dunne, T. H. Ricketts, C. M. Danforth.
    PLOS ONE. 2022.
    [pdf] [journal url] [arXiv] [online appendix] [thread] [blog] [press]

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  • 93. Sentiment and structure in word co-occurrence networks on Twitter.
    M. I. Fudolig, T. Alshaabi, M. V. Arnold, C. M. Danforth, P. S. Dodds.
    Applied Network Science. 2022.
    [pdf] [journal url] [arXiv] [thread]

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  • 92. Blending search queries with social media data to improve forecasts of economic indicators.
    Y. Li, A. Ahani, H. Zhan, K. Foley, T. Alshaabi, K. Linnell, C. M. Danforth, P. S. Dodds, A. Fox.
    arXiv. 2022.
    [pdf] [arXiv] [thread]

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  • 91. Sirius: A mutual information network tool for exploratory visualization of mixed data.
    J. L. Adams, T. F. DeLuca, C. M. Danforth, P. S. Dodds, Y. Zheng, K. Anastasakis, B. Choi, A. Min, M. B. Bessey.
    arXiv. 2022.
    [pdf] [arXiv] [thread] [code]

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  • 90. Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance.
    J. R. Minot, N. Cheney, M. Maier, D. C. Elbers, C. M. Danforth, P. S. Dodds.
    ACM Transactions on Computing for Health Care. 2022.
    [pdf] [journal url] [arXiv] [thread]

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  • 89. Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies.
    C. M. Van Oort, J. H Ring, D. R. Dewhurst, C. M. Danforth, B. F. Tivnan.
    Complexity. 2022.
    [pdf] [journal url]

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  • 88. Doomscrolling during COVID-19: The negative association between daily social and traditional media consumption and mental health symptoms during the COVID-19 pandemic.
    M. Price, A. C. Legrand, Z. M. F. Brier, K. van Stolk-Cooke, K. Peck, P. S. Dodds, Z. W. Adams, C. M. Danforth.
    Psychological Trauma: Theory, Research, Practice, and Policy. 2022.
    [pdf] [journal url] [arXiv]

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  • 87. Storywrangler: A massive exploratorium for
    sociolinguistic, cultural, socioeconomic, and political timelines using Twitter.
    T. Alshaabi, J. L. Adams, M. V. Arnold, J. R. Minot, D. R. Dewhurst, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    Science Advances. 2021.
    [pdf] [journal url] [arXiv] [appendix] [online visualization] [thread] [press]

    Stacks Image 503202
  • 86. Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth.
    arXiv. 2021.
    [pdf] [arXiv] [online appendix] [thread]

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  • 85. The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community.
    K. Gothard, D. R. Dewhurst, J. R. Minot, J. L. Adams, M. V. Arnold, T. Alshaabi, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    arXiv. 2021.
    [pdf] [arXiv] [thread]

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  • 84. Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts.
    R. J. Gallagher, M. R. Frank, L. Mitchell, A. J. Schwartz, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2021.
    [pdf] [journal url] [arXiv] [code] [thread]

    Stacks Image 502947
  • 83. Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy.
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, A. J. Reagan, C. M. Danforth.
    PLOS ONE. 2021.
    [pdf] [journal url] [arXiv] [online appendix] [thread] [press]

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  • 82. 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, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth.
    arXiv. 2021.
    [pdf] [arXiv] [thread]

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  • 81. Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter.
    J. R. Minot, M. V. Arnold, T. Alshaabi, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

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  • 80. Hurricanes and hashtags: Characterizing online collective attention for natural disasters.
    M. V. Arnold, D. R. Dewhurst, T. Alshaabi, J. R. Minot, J. L. Adams, C. M. Danforth, P. S. Dodds.
    PLOS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

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  • 79. The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.
    T. Alshaabi, D. R. Dewhurst, J. R. Minot, M. V. Arnold, J. L. Adams, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2021.
    [pdf] [journal url] [arXiv] [online appendix] [thread]

    Stacks Image 501947
  • 78. The sleep loss insult of Spring Daylight Savings in the US is absorbed by Twitter users within 48 hours.
    K. Linnell, T. Alshaabi, T. McAndrew, J. Lim, P. S. Dodds, C. M. Danforth. Journal of Big Data. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 501974
  • 77. Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
    B. F. Emery, M. T. Niles, C. M. Danforth, P. S. Dodds.
    PLOS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

    Stacks Image 502929
  • 76. The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.
    T. Alshaabi, D. R. Dewhurst, J. P. Bagrow, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2021.
    [pdf] [journal url] [arXiv] [thread]

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  • 75. How the world’s collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter.
    T. Alshaabi, M. V. Arnold, J. R. Minot, J. L. Adams, D. R. Dewhurst, A. J. Reagan, R. Muhamad, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2021.
    [pdf] [journal url] [arXiv] [online appendix] [press] [animation] [thread]

    Stacks Image 502902
  • 74. Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance.
    D. R. Dewhurst, T. Alshaabi, M. V. Arnold, J. R. Minot, C. M. Danforth, P. S. Dodds.
    arXiv.org. 2020.
    [pdf] [arXiv] [online appendix] [press] [thread]

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  • 73. Chimera States and Seizures in a Mouse Neuronal Model.
    H. Mitchell, M. Mahoney, P. S. Dodds, C. M. Danforth.
    International Journal of Bifurcation & Chaos. 2020.
    [pdf] [journal url] [arXiv] [animation]

    Stacks Image 502911
  • 72. Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings.
    T. Gray, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2020.
    [pdf] [journal url] [arXiv] [thread] [online appendix] [press]

    Stacks Image 502388
  • 71. The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series.
    D. R. Dewhurst, T. Alshaabi, D. Kiley, M. V. Arnold, J. R. Minot, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2020.
    [pdf] [journal url] [arXiv] [online appendix] [code] [thread]

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  • 70. Noncooperative dynamics in election interference.
    D. R. Dewhurst, C. M. Danforth, P. S. Dodds.
    Physical Review E. 2020.
    [pdf] [journal url] [arXiv] [thread] [press]

    Stacks Image 502397
  • 69. Fragmentation and Inefficiencies in US equity markets: Evidence from the Dow 30.
    B. F. Tivnan, D. R. Dewhurst, C. M. Van Oort, J. H. Ring, T. J. Gray, B. F. Tivnan, M. T. K. Kohler, M. T. McMahon, D. Slater, J. Veneman, C. M. Danforth.
    PLoS ONE. 2020.
    [pdf] [journal url] [arXiv] [press] [online appendix]

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  • 68. Scaling of inefficiencies in the U.S. equity markets: Evidence from three market indices and more than 2900 securities.
    J. H. Ring, C. M. Van Oort, D. R. Dewhurst, T. J. Gray, C. M. Danforth, B.F. Tivnan.
    arXiv. 2020.
    [pdf] [arXiv] [press] [online appendix]

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  • 67. Exploring Perceptions of Veganism.
    L. Jennings, C. M. Danforth, P. S. Dodds, E. Pinel, L. Pope.
    arXiv. 2019.
    [pdf] [arXiv]

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  • 66. Visitors to urban greenspace have higher sentiment and lower negativity on Twitter.
    A. J. Schwartz, P. S. Dodds, J. P. M. O’Neil-Dunne, C. M. Danforth, T. H. Ricketts.
    People & Nature. 2019.
    [pdf] [journal url] [arXiv] [press]

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  • 65. Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations.
    L. Ross, C. M. Danforth, M. J. Eppstein, L. Clarfeld, B. Durieux, C. Gramling, L. Hirsch, D. M. Rizzo, B. Gramling.
    Patient Education and Counseling. 2019.
    [pdf] [journal url] [press]

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  • 64. Social media usage patterns during natural hazards.
    M. Niles, A. J. Reagan, B. Emery, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2019.
    [pdf] [journal url] [arXiv] [press]

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  • 63. English Verb Regularization in Books and Tweets.
    T. Gray, A. J. Reagan, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2018.
    [pdf] [journal url] [arXiv] [online appendix]

    Stacks Image 501805
  • 62. A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter.
    E. M. Clark, T. James, C. A. Jones, A. Alapati, P. Ukandu, C. M. Danforth, P. S. Dodds.
    arXiv.org 2018.
    [pdf] [arXiv]

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  • 61. Divergent Discourse Between Protests and Counter-Protests: #BlackLivesMatter & #AllLivesMatter.
    R. Gallagher, A. J. Reagan, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2018.
    [pdf] [journal url] [arXiv]

    Stacks Image 502172

  • 60. Continuum rich-get-richer processes: Mean field analysis with an application to firm size.
    D. R. Dewhurst, C. M. Danforth, P. S. Dodds.
    Physical Review E. 2018.
    [pdf] [journal url] [arXiv]

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  • 59. Forecasting the onset and course of mental illness with Twitter data.
    A. G. Reece, A. J. Reagan, K. L. M. Lix, P. S. Dodds, C. M. Danforth, E. J. Langer.
    Scientific Reports. 2017.
    [pdf] [journal url] [arXiv] [press]

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  • 58. Instagram photos reveal predictive markers of depression.
    A. G. Reece, C. M. Danforth.
    EPJ Data Science. 2017.
    [pdf] [journal url] [arXiv] [press]
    Among 20 most discussed studies in 2017 (out of 2M), as measured by Altmetric.

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  • 57. Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs.
    A. J. Reagan, B. Tivnan, J. R. Williams, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2017.
    [pdf] [journal url] [arXiv] [blog]

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  • 56. Which friends are more popular than you? Contact strength and the friendship paradox in social networks.
    J. P. Bagrow, C. M. Danforth, L. Mitchell.
    Proceedings of the 2017 IEEE/ACM International Conference
    on Advances in Social Networks Analysis and Mining.
    [pdf] [arXiv]

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  • 55. Is language evolution grinding to a halt? The scaling of lexical turbulence suggests it is not.
    E. A. Pechenick, C. M. Danforth, P. S. Dodds.
    Journal of Computational Science. 2017.
    [pdf] [journal url] [arXiv]

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  • 54. The Lexicocalorimeter: Gauging public health through caloric input and output on social media.
    S. E. Alajajian, J. R. Williams, A. J. Reagan, S. C. Alajajian, M. R. Frank, L.Mitchell, J. Lahne, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2017.
    [pdf] [journal url] [arXiv] [interactive visualization] [twitter account] [press]

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  • 53. Simon's fundamental rich-gets-richer model entails a dominant first-mover advantage.
    P. S. Dodds, D. Dewhurst, F. F. Hazelhurst, C. Van Oort,
    L.Mitchell, A. J. Reagan, J. R. Williams, C. M. Danforth.
    Physical Review E. 2017.
    [pdf] [journal url] [arXiv] [interactive visualization]

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  • 52. Connecting every bit of knowledge: The structure of Wikipedia's First Link Network.
    M. Ibrahim, C. M. Danforth, P. S. Dodds.
    Journal of Computational Science. 2017.
    [pdf] [journal url] [arXiv] [online appendix]

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  • 51. The emotional arcs of stories are dominated by six basic shapes.
    A. J. Reagan, L. Mitchell, D. Kiley, C. M. Danforth, P. S. Dodds.
    EPJ Data Science. 2016.
    [pdf] [journal url] [arXiv] [press] [interactive website] [online appendix]

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  • 50. What we talk about when we talk about causality: Features of causal statements across large-scale social discourse.
    T. C. McAndrew, C. M. Danforth, J. P. Bagrow.
    IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining. 2016.
    [pdf] [arXiv]

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  • 49. Tracking climate change through the spatiotemporal dynamics of the Teletherms, the statistically hottest and coldest days of the year.
    P. S. Dodds, L. Mitchell, A. J. Reagan, C. M. Danforth.
    PLoS ONE. 2016.
    [pdf] [journal url] [arXiv] [interactive visualization] [online appendix]

    Stacks Image 502163


  • 48. Zipf's law is a consequence of coherent language production.
    J. R. Williams, J. P. Bagrow, A. J. Reagan, S. E. Alajajian, C. M. Danforth, P. S. Dodds.
    arXiv.org 2016.
    [pdf] [arXiv] [online appendix]

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  • 47. The game story space of professional sports: Australian Rules Football.
    D. P. Kiley, A. J. Reagan, L. Mitchell, C. M. Danforth, P. S. Dodds.
    Physical Review E. 2016.
    [pdf] [journal url] [arXiv] [press]

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  • 46. Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
    E. Clark, C. A. Jones, J. R. Williams, A. N. Kurti, M. C. Nortotsky, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2016.
    [pdf] [journal url] [arXiv] [press]

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  • 45. Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter.
    E. Clark, J. R. Williams, C. A. Jones, R. A. Galbraith, C. M. Danforth, P. S. Dodds.
    Journal of Computational Science. 2016.
    [pdf] [journal url] [arXiv]

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  • 44. Transitions in climate change awareness between Hurricanes Katrina & Sandy.
    E. M. Cody, J. P. Bagrow, P. S. Dodds, J. Stephens, C. M. Danforth.
    Journal of Environmental Studies and Sciences. 2016.
    [pdf] [journal url] [arXiv]

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  • 43. Public Opinion Polling with Twitter.
    E. M. Cody, A. J. Reagan, P. S. Dodds, C. M. Danforth.
    arXiv.org 2016.
    [pdf] [arXiv] [online appendix]

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  • 42. Predicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon using Data Assimilation.
    A. J. Reagan, Y. Dubief, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2016.
    [pdf] [journal url] [arXiv]

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  • 41. Constructing a taxonomy of fine-grained human movement and activity motifs through social media.
    M. R. Frank, J. R. Williams, L. Mitchell, J. P. Bagrow, P. S. Dodds, C. M. Danforth.
    arXiv.org 2015.
    [pdf] [arXiv]

    Stacks Image 501290
  • 40. Nonlinear functional mapping of the human brain.
    N. A. Allgaier, J. C. Bongard, C. M. Danforth, P. S. Dodds, H. Garavan et al.
    arXiv.org 2015.
    [pdf] [arXiv]

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  • 39. Human Language Reveals a Universal Positivity Bias.
    P. S. Dodds, E. Clark, S. Desu, M. R. Frank, A. Reagan, J. R. Williams, L.Mitchell, K. D. Harris, I. M. Kloumann, J. P. Bagrow, K. Megerdoomian, M. T. McMahon, B. F. Tivnan, C. M. Danforth.
    Proceedings of the National Academy of Sciences. 2015.
    [pdf] [journal url] [arXiv] [interactive appendix] [press]

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  • 38. Climate change sentiment on Twitter: An unsolicited public opinion poll.
    E. M. Cody, A. J. Reagan, L. Mitchell, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2015.
    [pdf] [journal url] [arXiv] [press]

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  • 37. Chaotic Natural Convection in a Toroidal Thermosyphon with Heat Flux Boundaries.
    W. F. Louisos, D. L. Hitt, C. M. Danforth.
    International Journal of Heat and Mass Transfer. 2015.
    [pdf] [journal url]

    Stacks Image 501317


  • 36. Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language.
    J. R. Williams, J. P. Bagrow, C. M. Danforth, P. S. Dodds.
    Physical Review E. 2015.
    [pdf] [journal url] [arXiv]

    Stacks Image 501341
  • 35. Identifying missing dictionary entries with frequency-conserving context models.
    J. R. Williams, E. Clark, J. P. Bagrow, C. M. Danforth, P. S. Dodds.
    Physical Review E. 2015.
    [pdf] [journal url] [arXiv] [live experiment]

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  • 34. Zipf’s Law holds for phrases, not words.
    J. R. Williams, S. Desu, E. Clark, P. R. Lessard, J. P. Bagrow, C. M. Danforth, P. S. Dodds.
    Scientific Reports. 2015.
    [pdf] [journal url] [arXiv]

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  • 33. Characterizing the Google Books Corpus: Strong limits to inferences of socio-cultural & linguistic evolution.
    E. A. Pechenick, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2015.
    [pdf] [journal url] [arXiv] [thread] [press]

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  • 32. Robustness of Spatial Micronetworks.
    T. C. McAndrew, C. M. Danforth, J. P. Bagrow.
    Physical Review E. 2015.
    [pdf] [journal url] [arXiv]

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  • 31. Standing Swells Surveyed Showing Surprisingly Stable Solutions for the Lorenz ’96 Model.
    M. R. Frank, L. Mitchell, P. S. Dodds, C. M. Danforth.
    International Journal of Bifurcation and Chaos. 2014.
    [pdf] [journal url] [arXiv] [animation] [cover]

    Stacks Image 501386
  • 30. Estimation of Global Network Statistics from Incomplete Data.
    C. A. Bliss, C. M. Danforth, P. S. Dodds.
    PLoS ONE. 2014.
    [pdf] [journal url] [arXiv]

    Stacks Image 501395
  • 29. Nonlinear Dynamics in a Spatio-Temporally Periodic Potential.
    O. Myers, J. Wu, J. S. Marshall, C. M. Danforth.
    Journal of Applied Physics. 2014.
    [pdf] [journal url] [arXiv]

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  • 28. Shadow Networks: Discovering Hidden Nodes with Models of Information Flow.
    J. P. Bagrow, S. Desu, M. R. Frank, N. Manukyan, L. Mitchell, A. Reagan, E. E. Bloedorn, L. B. Booker, L. K. Branting, M. J. Smith, B. F. Tivnan, C. M. Danforth, P. S. Dodds, J. C. Bongard. arXiv.org 2013.
    [pdf] [arXiv] [press]

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  • 27. The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place.
    L. Mitchell, K. D. Harris, M. R. Frank, P. S. Dodds, C. M. Danforth.
    PLoS ONE. 2013.
    [pdf] [journal url] [arXiv] [press] [online appendix] [ellen]

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  • 26. Limited Imitation Contagion on Random Networks: Chaos, Universality, and Unpredictability.
    P. S. Dodds, K. D. Harris, C. M. Danforth.
    Physical Review Letters. 2013.
    [pdf] [journal url] [arXiv]

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  • 25. Dynamical influence processes on networks: General theory and applications to social contagion.
    K. D. Harris, P. S. Dodds, C. M. Danforth.
    Physical Review E. 2013.
    [pdf] [journal url] [arXiv] [animation]

    Stacks Image 501431


  • 24. Happiness and the Patterns of Life: A Study of Geolocated Tweets.
    M. R. Frank, L. Mitchell, P. S. Dodds, C. M. Danforth.
    Scientific Reports. 2013.
    [pdf] [journal url] [arXiv] [press]

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  • 23. An Evolutionary Algorithm Approach to Link Prediction in Dynamic Social Networks.
    C. A. Bliss, M. R. Frank, C. M. Danforth, P. S. Dodds.
    Journal of Computational Science. 2013.
    [pdf] [journal url] [arXiv]

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  • 22. Nutrient Enrichment Alters Weedy Plant Population Dynamics.
    J. Molofsky, C. M. Danforth, E. E. Crone.
    Population Ecology. 2013.
    [pdf] [journal url]

    Stacks Image 501484
  • 21. Chaotic Flow in a 2D Natural Convection Loop with Heat Flux Boundaries.
    W. F. Louisos, D. L. Hitt, C. M. Danforth.
    International Journal of Heat and Mass Transfer. 2013.
    [pdf] [journal url] [animation]

    Stacks Image 501475
  • 20. Predicting Flow Reversals in Chaotic Natural Convection using Data Assimilation.
    K. D. Harris, E.-H. Ridouane, D. L. Hitt, C. M. Danforth.
    Tellus. 2012.
    [pdf] [journal url] [arXiv] [supplement] [blog]

    Stacks Image 501493
  • 19. Empirical Correction of a Toy Climate Model.
    N. Allgaier, K. D. Harris, C. M. Danforth.
    Physical Review E. 2012.
    [pdf] [journal url] [arXiv]

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  • 18. Aggressive Shadowing of a Low-Dimensional Model of Atmospheric Dynamics.
    R. Lieb-Lappen, C. M. Danforth.
    Physica D. 2012.
    [pdf] [journal url]

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  • 17. Estimating Distance to Critical Transitions from Time-series Synchrophasor Data.
    E. Cotilla-Sanchez, P. Hines, C. M. Danforth.
    IEEE Transactions on Smart Grid. 2012.
    [pdf] [journal url] [blog]

    Stacks Image 501520
  • 16. Positivity of the English Language.
    I. M. Kloumann, C. M. Danforth, K. D. Harris, C. A. Bliss, P. S. Dodds.
    PLoS ONE 2012.
    [pdf] [journal url] [arXiv] [press]

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  • 15. Twitter Reciprocal Reply Networks Exhibit Assortativity with Respect to Happiness.
    C. A. Bliss, I. M. Kloumann, K. D. Harris, C. M. Danforth, P. S. Dodds.
    Journal of Computational Science. 2012.
    [pdf] [supplement] [journal url] [arXiv]

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  • 14. Defining the Boundaries of Normal Thrombin Generation: Investigations into Hemostasis.
    C. M. Danforth, T. Orfeo, S. J. Everse, K. G. Mann, K. Brummel-Ziedins.
    PLoS ONE. 2012.
    [pdf] [journal url]

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  • 13. A Numerical Investigation of 3-D Flow Regimes in a Toroidal Natural Convection Loop.
    E.-H. Ridouane, C. M. Danforth, D. L. Hitt.
    International Journal of Heat and Mass Transfer. 2011.
    [pdf] [journal url]

    Stacks Image 502244


  • 12. Temporal Patterns of Happiness and Information in a Global-Scale Social Network: Hedonometrics and Twitter.
    P. S. Dodds, K. D. Harris, I. M. Kloumann, C. A. Bliss, C. M. Danforth.
    PLoS ONE 2011. Top 1% most cited PLoS ONE articles.
    [pdf] [journal url] [labMT 1.0 word list] [blog] [arXiv] [press] [interactive website] [twitter account]

    Stacks Image 502235
  • 11. The Interplay of Chaos between the Terrestrial and Giant Planets.
    W. Hayes, A. Malykh, C. M. Danforth.
    Monthly Notices of the Royal Astronomical Society. 2010.
    [pdf] [journal url]

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  • 10. A 2-D Numerical Study Of Chaotic Flow In A Natural Convection Loop.
    E.-H. Ridouane, C. M. Danforth, D. L. Hitt.
    International Journal of Heat and Mass Transfer. 2009.
    [pdf] [journal url] [blog]

    Stacks Image 501589
  • 9. Accounting for Model Errors in Ensemble Data Assimilation.
    H. Li, E. Kalnay, T. Miyoshi, C. M. Danforth. 2009.
    Monthly Weather Review. 2009.
    [pdf] [journal url]

    Stacks Image 501598
  • 8. Complex Dynamic Behavior During Transition in a Solid Combustion Model.
    J. Yu, L. K. Gross, C. M. Danforth.
    Complexity. 2009.
    [pdf] [journal url]

    Stacks Image 501607
  • 7. Dynamic Structure of Networks Updated According to Simple, Local Rules.
    K. L. Morrow, T. Rowland, C. M. Danforth.
    Physical Review E. 2009.
    [pdf] [journal url]

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  • 6. Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents.
    P. S. Dodds, C. M. Danforth.
    Journal of Happiness Studies. 2009.
    [pdf] [journal url] [arXiv] [press]

    Stacks Image 502226
  • 5. The Impact of Uncertainty in a Blood Coagulation Model.
    C. M. Danforth, T. Orfeo, K. G. Mann, K. Brummel-Ziedins, S. J. Everse.
    Mathematical Medicine and Biology. 2009.
    [pdf] [journal url]

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  • 4. Impact of Online Empirical Model Correction on Nonlinear Error Growth.
    C. M. Danforth, E. Kalnay.
    Geophysical Research Letters. 2008.
    [pdf] [journal url]

    Stacks Image 501643
  • 3. Using Singular Value Decomposition to Parameterize State-Dependent Model Errors.
    C. M. Danforth, E. Kalnay.
    Journal of the Atmospheric Sciences. 2008.
    [pdf] [journal url]

    Stacks Image 501652
  • 2. Estimating and Correcting Global Weather Model Error.
    C. M. Danforth, E. Kalnay, T. Miyoshi.
    Monthly Weather Review. 2007.
    [pdf] [journal url]

    Stacks Image 501661
  • 1. Making Forecasts for Chaotic Physical Processes.
    C. M. Danforth, J. A. Yorke.
    Physical Review Letters. 2006.
    [pdf] [journal url]

    Stacks Image 501673